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overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Turbulence</h1><div class="u-tcGrayDark">22,091 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Turbulence</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Turbulence">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Turbulence/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Turbulence/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Turbulence/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Turbulence">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43764136" data-work_id="43764136" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43764136/SCHOOL_LEADERSHIP_FOR_A_DIVERSE_SOCIETY">SCHOOL LEADERSHIP FOR A DIVERSE SOCIETY</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Author Buonanno, Thomas Anthony Title School Leadership for a Diverse Society Year Degree Awarded 2020 Department Educational Leadership Degree Ed.D. Abstract Given the increase of language minority students in school districts across... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43764136" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Author<br />Buonanno, Thomas  Anthony<br />Title<br />School Leadership for a Diverse Society<br />Year Degree Awarded<br />2020<br />Department<br />Educational Leadership<br />Degree<br />Ed.D.<br />Abstract<br />Given the increase of language minority students in school districts across Pennsylvania, school leaders are faced with the demand to address the unique needs of students learning English. Previous research suggests that state initiatives to simply assimilate students may not have been successful in meeting their needs. Furthermore, research and theory also suggest that leaders demonstrating cultural proficiency may be more effective in meeting the needs of English learners who are also ethnic minorities. The approach leaders take may be a function of the ethical paradigm that informs their decision-making. In order to understand the extent to which elementary school principals in one school district display cultural proficiency and to investigate the ethical paradigms that inform their decision-making, I conducted interviews with five principals in one large diverse school district in Pennsylvania. Drawing on a framework of Cultural Proficiency, I found in general there to be an over-appreciation of diversity and under-appreciation of cultural proficiency at the conclusion of this study. Additionally, there was an observed tendency for these school principals to view their leadership role as one that functions primarily within the confines of executing district policies at the building-level. Though each participant expressed the importance of advocacy for their students, they did not pursue policy creation or change within a broader political context. Despite the similarities among participants, my analysis suggested variations in the participants’ concepts of their role as school leaders to support English Language Learners and language minority students.<br />Advisor<br />McGinley, Christopher W.<br /><br />Committee Members<br />Laurence, Janice H.<br />Haviland, Joseph<br />Smith, Michael W.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43764136" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d951ccd90ba6ca7a361d93d810503ced" rel="nofollow" data-download="{"attachment_id":64076536,"asset_id":43764136,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/64076536/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38140309" href="https://temple.academia.edu/thomasbuonanno">Thomas A Buonanno, Ed.D</a><script data-card-contents-for-user="38140309" type="text/json">{"id":38140309,"first_name":"Thomas","last_name":"Buonanno, Ed.D","domain_name":"temple","page_name":"thomasbuonanno","display_name":"Thomas A Buonanno, Ed.D","profile_url":"https://temple.academia.edu/thomasbuonanno?f_ri=2802","photo":"https://0.academia-photos.com/38140309/10655412/35856192/s65_thomas.buonanno.jpeg"}</script></span></span></li><li class="js-paper-rank-work_43764136 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43764136"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43764136, container: ".js-paper-rank-work_43764136", }); });</script></li><li class="js-percentile-work_43764136 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 43764136; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_43764136"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_43764136 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="43764136"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 43764136; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=43764136]").text(description); $(".js-view-count-work_43764136").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43764136").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43764136"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="240" rel="nofollow" href="https://www.academia.edu/Documents/in/Organizational_Psychology">Organizational Psychology</a>, <script data-card-contents-for-ri="240" type="text/json">{"id":240,"name":"Organizational Psychology","url":"https://www.academia.edu/Documents/in/Organizational_Psychology?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="814" rel="nofollow" href="https://www.academia.edu/Documents/in/Ethics">Ethics</a>, <script data-card-contents-for-ri="814" type="text/json">{"id":814,"name":"Ethics","url":"https://www.academia.edu/Documents/in/Ethics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="898" rel="nofollow" href="https://www.academia.edu/Documents/in/Multiculturalism">Multiculturalism</a>, <script data-card-contents-for-ri="898" type="text/json">{"id":898,"name":"Multiculturalism","url":"https://www.academia.edu/Documents/in/Multiculturalism?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1007" rel="nofollow" href="https://www.academia.edu/Documents/in/Teaching_English_as_a_Second_Language">Teaching English as a Second Language</a><script data-card-contents-for-ri="1007" type="text/json">{"id":1007,"name":"Teaching English as a Second Language","url":"https://www.academia.edu/Documents/in/Teaching_English_as_a_Second_Language?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43764136]'), work: {"id":43764136,"title":"SCHOOL LEADERSHIP FOR A DIVERSE SOCIETY","created_at":"2020-08-02T02:46:28.206-07:00","url":"https://www.academia.edu/43764136/SCHOOL_LEADERSHIP_FOR_A_DIVERSE_SOCIETY?f_ri=2802","dom_id":"work_43764136","summary":"Author\nBuonanno, Thomas Anthony\nTitle\nSchool Leadership for a Diverse Society\nYear Degree Awarded\n2020\nDepartment\nEducational Leadership\nDegree\nEd.D.\nAbstract\nGiven the increase of language minority students in school districts across Pennsylvania, school leaders are faced with the demand to address the unique needs of students learning English. Previous research suggests that state initiatives to simply assimilate students may not have been successful in meeting their needs. Furthermore, research and theory also suggest that leaders demonstrating cultural proficiency may be more effective in meeting the needs of English learners who are also ethnic minorities. The approach leaders take may be a function of the ethical paradigm that informs their decision-making. In order to understand the extent to which elementary school principals in one school district display cultural proficiency and to investigate the ethical paradigms that inform their decision-making, I conducted interviews with five principals in one large diverse school district in Pennsylvania. Drawing on a framework of Cultural Proficiency, I found in general there to be an over-appreciation of diversity and under-appreciation of cultural proficiency at the conclusion of this study. Additionally, there was an observed tendency for these school principals to view their leadership role as one that functions primarily within the confines of executing district policies at the building-level. Though each participant expressed the importance of advocacy for their students, they did not pursue policy creation or change within a broader political context. Despite the similarities among participants, my analysis suggested variations in the participants’ concepts of their role as school leaders to support English Language Learners and language minority students.\nAdvisor\nMcGinley, Christopher W.\n\nCommittee Members\nLaurence, Janice H.\nHaviland, Joseph\nSmith, Michael W.","downloadable_attachments":[{"id":64076536,"asset_id":43764136,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38140309,"first_name":"Thomas","last_name":"Buonanno, Ed.D","domain_name":"temple","page_name":"thomasbuonanno","display_name":"Thomas A Buonanno, Ed.D","profile_url":"https://temple.academia.edu/thomasbuonanno?f_ri=2802","photo":"https://0.academia-photos.com/38140309/10655412/35856192/s65_thomas.buonanno.jpeg"}],"research_interests":[{"id":240,"name":"Organizational Psychology","url":"https://www.academia.edu/Documents/in/Organizational_Psychology?f_ri=2802","nofollow":true},{"id":814,"name":"Ethics","url":"https://www.academia.edu/Documents/in/Ethics?f_ri=2802","nofollow":true},{"id":898,"name":"Multiculturalism","url":"https://www.academia.edu/Documents/in/Multiculturalism?f_ri=2802","nofollow":true},{"id":1007,"name":"Teaching English as a Second Language","url":"https://www.academia.edu/Documents/in/Teaching_English_as_a_Second_Language?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802"},{"id":7273,"name":"Cultural Competency","url":"https://www.academia.edu/Documents/in/Cultural_Competency?f_ri=2802"},{"id":7466,"name":"Human Development","url":"https://www.academia.edu/Documents/in/Human_Development?f_ri=2802"},{"id":9822,"name":"Education Policy","url":"https://www.academia.edu/Documents/in/Education_Policy?f_ri=2802"},{"id":11658,"name":"Bilingual Education","url":"https://www.academia.edu/Documents/in/Bilingual_Education?f_ri=2802"},{"id":15155,"name":"Educational Equity and Justice","url":"https://www.academia.edu/Documents/in/Educational_Equity_and_Justice?f_ri=2802"},{"id":53391,"name":"School culture","url":"https://www.academia.edu/Documents/in/School_culture?f_ri=2802"},{"id":77802,"name":"School Leadership","url":"https://www.academia.edu/Documents/in/School_Leadership?f_ri=2802"},{"id":740739,"name":"Cultural Proficiency","url":"https://www.academia.edu/Documents/in/Cultural_Proficiency?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_27118340" data-work_id="27118340" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/27118340/Drift_wave_test_particle_transport_in_reversed_shear_profile">Drift wave test particle transport in reversed shear profile</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Drift wave maps, area preserving maps that describe the motion of charged particles in drift waves, are derived. The maps allow the integration of particle orbits on the long time scale needed to describe transport. Calculations using the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_27118340" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Drift wave maps, area preserving maps that describe the motion of charged particles in drift waves, are derived. The maps allow the integration of particle orbits on the long time scale needed to describe transport. Calculations using the drift wave maps show that dramatic improvement in the particle confinement, in the presence of a given level and spectrum of EϫB turbulence, can occur for q(r) profiles with reversed shear. A similar reduction in the transport, i.e., one that is independent of the turbulence, is observed in the presence of an equilibrium radial electric field with shear. The transport reduction, caused by the combined effects of radial electric field shear and both monotonic and reversed shear magnetic q profiles, is also investigated.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/27118340" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="822bc4201e545205014bb55d9f2a164f" rel="nofollow" data-download="{"attachment_id":47369235,"asset_id":27118340,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47369235/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="48029487" href="https://victoria.academia.edu/PhilipMorrison">Philip S Morrison</a><script data-card-contents-for-user="48029487" type="text/json">{"id":48029487,"first_name":"Philip","last_name":"Morrison","domain_name":"victoria","page_name":"PhilipMorrison","display_name":"Philip S Morrison","profile_url":"https://victoria.academia.edu/PhilipMorrison?f_ri=2802","photo":"https://0.academia-photos.com/48029487/12651420/14073509/s65_philip.morrison.jpg"}</script></span></span></li><li class="js-paper-rank-work_27118340 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="27118340"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 27118340, container: ".js-paper-rank-work_27118340", }); });</script></li><li class="js-percentile-work_27118340 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 27118340; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_27118340"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_27118340 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="27118340"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 27118340; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=27118340]").text(description); $(".js-view-count-work_27118340").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_27118340").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="27118340"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="498" rel="nofollow" href="https://www.academia.edu/Documents/in/Physics">Physics</a>, <script data-card-contents-for-ri="498" type="text/json">{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="517" rel="nofollow" href="https://www.academia.edu/Documents/in/Plasma_Physics">Plasma Physics</a>, <script data-card-contents-for-ri="517" type="text/json">{"id":517,"name":"Plasma Physics","url":"https://www.academia.edu/Documents/in/Plasma_Physics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2024" rel="nofollow" href="https://www.academia.edu/Documents/in/Mass_Transfer">Mass Transfer</a>, <script data-card-contents-for-ri="2024" type="text/json">{"id":2024,"name":"Mass Transfer","url":"https://www.academia.edu/Documents/in/Mass_Transfer?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a><script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=27118340]'), work: {"id":27118340,"title":"Drift wave test particle transport in reversed shear profile","created_at":"2016-07-19T22:38:20.007-07:00","url":"https://www.academia.edu/27118340/Drift_wave_test_particle_transport_in_reversed_shear_profile?f_ri=2802","dom_id":"work_27118340","summary":"Drift wave maps, area preserving maps that describe the motion of charged particles in drift waves, are derived. The maps allow the integration of particle orbits on the long time scale needed to describe transport. Calculations using the drift wave maps show that dramatic improvement in the particle confinement, in the presence of a given level and spectrum of EϫB turbulence, can occur for q(r) profiles with reversed shear. A similar reduction in the transport, i.e., one that is independent of the turbulence, is observed in the presence of an equilibrium radial electric field with shear. The transport reduction, caused by the combined effects of radial electric field shear and both monotonic and reversed shear magnetic q profiles, is also investigated.","downloadable_attachments":[{"id":47369235,"asset_id":27118340,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":48029487,"first_name":"Philip","last_name":"Morrison","domain_name":"victoria","page_name":"PhilipMorrison","display_name":"Philip S Morrison","profile_url":"https://victoria.academia.edu/PhilipMorrison?f_ri=2802","photo":"https://0.academia-photos.com/48029487/12651420/14073509/s65_philip.morrison.jpg"}],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics?f_ri=2802","nofollow":true},{"id":517,"name":"Plasma Physics","url":"https://www.academia.edu/Documents/in/Plasma_Physics?f_ri=2802","nofollow":true},{"id":2024,"name":"Mass Transfer","url":"https://www.academia.edu/Documents/in/Mass_Transfer?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":5495,"name":"Wave turbulence","url":"https://www.academia.edu/Documents/in/Wave_turbulence?f_ri=2802"},{"id":34754,"name":"Magnetic field","url":"https://www.academia.edu/Documents/in/Magnetic_field?f_ri=2802"},{"id":80799,"name":"Classical Physics","url":"https://www.academia.edu/Documents/in/Classical_Physics?f_ri=2802"},{"id":321836,"name":"Spectrum","url":"https://www.academia.edu/Documents/in/Spectrum?f_ri=2802"},{"id":775583,"name":"Shear","url":"https://www.academia.edu/Documents/in/Shear?f_ri=2802"},{"id":1130559,"name":"Electric Field","url":"https://www.academia.edu/Documents/in/Electric_Field?f_ri=2802"},{"id":1760204,"name":"Elementary Particles","url":"https://www.academia.edu/Documents/in/Elementary_Particles?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_26183800" data-work_id="26183800" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/26183800/Flux_enhancement_by_using_helical_baffles_in_ultrafiltration_of_suspended_solids">Flux enhancement by using helical baffles in ultrafiltration of suspended solids</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The main reason for the flux decline during the initial period of all filtration processes is the usual phenomena of concentration polarization and fouling. After this stage follows the cake filtration process that allows to obtain the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_26183800" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The main reason for the flux decline during the initial period of all filtration processes is the usual phenomena of concentration polarization and fouling. After this stage follows the cake filtration process that allows to obtain the steady state flux. The solute accumulated on the membrane surface forms a high concentration gel layer, which increases the effective membrane thickness and so reduces its hydraulic permeability. Different techniques are used to reduce this formation and use of helical baffles inside the membrane element is one of such techniques. The selection of appropriate helical baffle is vital to get improved permeation flux with minimum pressure drop for cross-flow feed. The number of helices per unit length has a considerable influence on the selected helical baffle. All experiments have been conducted with an inorganic tubular ultrafiltration membrane for filtering a supernatant from activated sludge plant consisting of suspended and biological solids. The influence of the operational parameters is studied in this paper. Nevertheless, the feed temperature and the concentration were kept constant at the industrial values. We found 1 bar as an optimal pressure, above this pressure the permeation flux decreases, contrarily to several works, which observe a plateau after certain value of pressure. Progressive fouling can be limited by use of helical baffles in the filtration element operated at low pressures and the flocculation of particles is reduced. On the other hand, we have found that the influence of Reynolds number inside the membrane tube and the feed flow-rate are similar to other studies that used different helical baffles.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/26183800" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c65382001baa0632503ec391058c3cda" rel="nofollow" data-download="{"attachment_id":46508280,"asset_id":26183800,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46508280/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5249516" href="https://yic.academia.edu/RahimJassim">Rahim Jassim</a><script data-card-contents-for-user="5249516" type="text/json">{"id":5249516,"first_name":"Rahim","last_name":"Jassim","domain_name":"yic","page_name":"RahimJassim","display_name":"Rahim Jassim","profile_url":"https://yic.academia.edu/RahimJassim?f_ri=2802","photo":"https://0.academia-photos.com/5249516/2310039/4334560/s65_rahim.jassim.jpg"}</script></span></span></li><li class="js-paper-rank-work_26183800 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="26183800"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 26183800, container: ".js-paper-rank-work_26183800", }); });</script></li><li class="js-percentile-work_26183800 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26183800; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_26183800"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_26183800 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="26183800"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26183800; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26183800]").text(description); $(".js-view-count-work_26183800").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_26183800").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="26183800"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">21</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="12124" rel="nofollow" href="https://www.academia.edu/Documents/in/Filtration">Filtration</a>, <script data-card-contents-for-ri="12124" type="text/json">{"id":12124,"name":"Filtration","url":"https://www.academia.edu/Documents/in/Filtration?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="16122" rel="nofollow" href="https://www.academia.edu/Documents/in/Activated_Sludge">Activated Sludge</a><script data-card-contents-for-ri="16122" type="text/json">{"id":16122,"name":"Activated Sludge","url":"https://www.academia.edu/Documents/in/Activated_Sludge?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=26183800]'), work: {"id":26183800,"title":"Flux enhancement by using helical baffles in ultrafiltration of suspended solids","created_at":"2016-06-15T06:10:55.963-07:00","url":"https://www.academia.edu/26183800/Flux_enhancement_by_using_helical_baffles_in_ultrafiltration_of_suspended_solids?f_ri=2802","dom_id":"work_26183800","summary":"The main reason for the flux decline during the initial period of all filtration processes is the usual phenomena of concentration polarization and fouling. After this stage follows the cake filtration process that allows to obtain the steady state flux. The solute accumulated on the membrane surface forms a high concentration gel layer, which increases the effective membrane thickness and so reduces its hydraulic permeability. Different techniques are used to reduce this formation and use of helical baffles inside the membrane element is one of such techniques. The selection of appropriate helical baffle is vital to get improved permeation flux with minimum pressure drop for cross-flow feed. The number of helices per unit length has a considerable influence on the selected helical baffle. All experiments have been conducted with an inorganic tubular ultrafiltration membrane for filtering a supernatant from activated sludge plant consisting of suspended and biological solids. The influence of the operational parameters is studied in this paper. Nevertheless, the feed temperature and the concentration were kept constant at the industrial values. We found 1 bar as an optimal pressure, above this pressure the permeation flux decreases, contrarily to several works, which observe a plateau after certain value of pressure. Progressive fouling can be limited by use of helical baffles in the filtration element operated at low pressures and the flocculation of particles is reduced. On the other hand, we have found that the influence of Reynolds number inside the membrane tube and the feed flow-rate are similar to other studies that used different helical baffles.","downloadable_attachments":[{"id":46508280,"asset_id":26183800,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5249516,"first_name":"Rahim","last_name":"Jassim","domain_name":"yic","page_name":"RahimJassim","display_name":"Rahim Jassim","profile_url":"https://yic.academia.edu/RahimJassim?f_ri=2802","photo":"https://0.academia-photos.com/5249516/2310039/4334560/s65_rahim.jassim.jpg"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":12124,"name":"Filtration","url":"https://www.academia.edu/Documents/in/Filtration?f_ri=2802","nofollow":true},{"id":16122,"name":"Activated Sludge","url":"https://www.academia.edu/Documents/in/Activated_Sludge?f_ri=2802","nofollow":true},{"id":37447,"name":"Ultrafiltration","url":"https://www.academia.edu/Documents/in/Ultrafiltration?f_ri=2802"},{"id":53158,"name":"Desalination","url":"https://www.academia.edu/Documents/in/Desalination?f_ri=2802"},{"id":63142,"name":"Fouling","url":"https://www.academia.edu/Documents/in/Fouling?f_ri=2802"},{"id":83972,"name":"Permeability","url":"https://www.academia.edu/Documents/in/Permeability?f_ri=2802"},{"id":96172,"name":"Flocculation","url":"https://www.academia.edu/Documents/in/Flocculation?f_ri=2802"},{"id":130625,"name":"Membrane Separation","url":"https://www.academia.edu/Documents/in/Membrane_Separation?f_ri=2802"},{"id":179332,"name":"Hydrodynamics","url":"https://www.academia.edu/Documents/in/Hydrodynamics?f_ri=2802"},{"id":234860,"name":"Steady state","url":"https://www.academia.edu/Documents/in/Steady_state?f_ri=2802"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES?f_ri=2802"},{"id":276275,"name":"Concentration polarization","url":"https://www.academia.edu/Documents/in/Concentration_polarization?f_ri=2802"},{"id":331203,"name":"Pressure Drop","url":"https://www.academia.edu/Documents/in/Pressure_Drop?f_ri=2802"},{"id":886665,"name":"Suspended Solids","url":"https://www.academia.edu/Documents/in/Suspended_Solids?f_ri=2802"},{"id":898062,"name":"Flow Rate","url":"https://www.academia.edu/Documents/in/Flow_Rate?f_ri=2802"},{"id":904185,"name":"Permeation","url":"https://www.academia.edu/Documents/in/Permeation?f_ri=2802"},{"id":1008960,"name":"Reynolds Number","url":"https://www.academia.edu/Documents/in/Reynolds_Number?f_ri=2802"},{"id":1174006,"name":"Low Pressure Boiler","url":"https://www.academia.edu/Documents/in/Low_Pressure_Boiler?f_ri=2802"},{"id":1647834,"name":"Floculation","url":"https://www.academia.edu/Documents/in/Floculation?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_52042132" data-work_id="52042132" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/52042132/A_framework_for_managing_organizations_in_complex_environments">A framework for managing organizations in complex environments</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The complex environments of today’s markets makes managing organizations in complexity and turbulence a concern for senior managers, and necessitate developing a dynamic strategic framework to cope with complexity in managing... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_52042132" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The complex environments of today’s markets makes managing organizations in complexity and turbulence a concern for senior managers, and necessitate developing a dynamic strategic framework to cope with complexity in managing organizations. This paper demonstrates a study that was conducted to value a structured set of management principles and sub-elements by a panel of experts to develop a conceptual framework to manage in complex and very high dynamic environments. The panel consisted of 22 senior level managers of grade “A” companies in the construction industry in Qatar State using a two-round Delphi technique. The study developed two frameworks. The first framework is for managing complexity in the construction sector. The second one is the primary general framework, which forms a basis for a generalized framework for other industries. This study participates in developing valuable management practices in complex environments to tackle uncertainty, unpredictability, disorder, rapid changes and non-linearity, which would be of great help for leaders, senior managers and practitioners who operate in complex environments. Journal: Construction Management and Economics Volume 36, 2018 - Issue 4</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/52042132" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9195144" href="https://independent.academia.edu/WaelShadid">Dr. Wael K Shadid</a><script data-card-contents-for-user="9195144" type="text/json">{"id":9195144,"first_name":"Dr. Wael","last_name":"Shadid","domain_name":"independent","page_name":"WaelShadid","display_name":"Dr. Wael K Shadid","profile_url":"https://independent.academia.edu/WaelShadid?f_ri=2802","photo":"https://0.academia-photos.com/9195144/8194605/20130804/s65_dr._wael.shadid.jpg"}</script></span></span></li><li class="js-paper-rank-work_52042132 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="52042132"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 52042132, container: ".js-paper-rank-work_52042132", }); });</script></li><li class="js-percentile-work_52042132 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 52042132; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_52042132"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_52042132 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="52042132"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 52042132; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=52042132]").text(description); $(".js-view-count-work_52042132").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_52042132").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="52042132"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="724" rel="nofollow" href="https://www.academia.edu/Documents/in/Economics">Economics</a>, <script data-card-contents-for-ri="724" type="text/json">{"id":724,"name":"Economics","url":"https://www.academia.edu/Documents/in/Economics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2277" rel="nofollow" href="https://www.academia.edu/Documents/in/Project_Management">Project Management</a>, <script data-card-contents-for-ri="2277" type="text/json">{"id":2277,"name":"Project Management","url":"https://www.academia.edu/Documents/in/Project_Management?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a><script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=52042132]'), work: {"id":52042132,"title":"A framework for managing organizations in complex environments","created_at":"2021-09-12T16:02:47.341-07:00","url":"https://www.academia.edu/52042132/A_framework_for_managing_organizations_in_complex_environments?f_ri=2802","dom_id":"work_52042132","summary":"The complex environments of today’s markets makes managing organizations in complexity and turbulence a concern for senior managers, and necessitate developing a dynamic strategic framework to cope with complexity in managing organizations. This paper demonstrates a study that was conducted to value a structured set of management principles and sub-elements by a panel of experts to develop a conceptual framework to manage in complex and very high dynamic environments. The panel consisted of 22 senior level managers of grade “A” companies in the construction industry in Qatar State using a two-round Delphi technique. The study developed two frameworks. The first framework is for managing complexity in the construction sector. The second one is the primary general framework, which forms a basis for a generalized framework for other industries. This study participates in developing valuable management practices in complex environments to tackle uncertainty, unpredictability, disorder, rapid changes and non-linearity, which would be of great help for leaders, senior managers and practitioners who operate in complex environments. Journal: Construction Management and Economics Volume 36, 2018 - Issue 4","downloadable_attachments":[],"ordered_authors":[{"id":9195144,"first_name":"Dr. Wael","last_name":"Shadid","domain_name":"independent","page_name":"WaelShadid","display_name":"Dr. Wael K Shadid","profile_url":"https://independent.academia.edu/WaelShadid?f_ri=2802","photo":"https://0.academia-photos.com/9195144/8194605/20130804/s65_dr._wael.shadid.jpg"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true},{"id":724,"name":"Economics","url":"https://www.academia.edu/Documents/in/Economics?f_ri=2802","nofollow":true},{"id":2277,"name":"Project Management","url":"https://www.academia.edu/Documents/in/Project_Management?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":3105,"name":"Construction Management","url":"https://www.academia.edu/Documents/in/Construction_Management?f_ri=2802"},{"id":3155,"name":"Complexity Theory","url":"https://www.academia.edu/Documents/in/Complexity_Theory?f_ri=2802"},{"id":6687,"name":"Project Risk Management","url":"https://www.academia.edu/Documents/in/Project_Risk_Management?f_ri=2802"},{"id":6842,"name":"Construction Project Management","url":"https://www.academia.edu/Documents/in/Construction_Project_Management?f_ri=2802"},{"id":8367,"name":"Complexity","url":"https://www.academia.edu/Documents/in/Complexity?f_ri=2802"},{"id":24769,"name":"Chaos/Complexity Theory","url":"https://www.academia.edu/Documents/in/Chaos_Complexity_Theory?f_ri=2802"},{"id":58925,"name":"Construction Management and Economics","url":"https://www.academia.edu/Documents/in/Construction_Management_and_Economics?f_ri=2802"},{"id":72236,"name":"Project Managment","url":"https://www.academia.edu/Documents/in/Project_Managment?f_ri=2802"},{"id":951970,"name":"Leadership Startegies","url":"https://www.academia.edu/Documents/in/Leadership_Startegies?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_13146608" data-work_id="13146608" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/13146608/Gas_flow_and_particle_deposition_in_the_hot_gas_filter_vessel_of_the_Pinon_Pine_project">Gas flow and particle deposition in the hot-gas filter vessel of the Pinon Pine project</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Advanced pressurized fluidized bed combustors (PFBC) and integrated gasification combined cycles (IGCC) as economical clean coal technologies for the 21st century have attracted considerable attention. The success of these advanced coal... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_13146608" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Advanced pressurized fluidized bed combustors (PFBC) and integrated gasification combined cycles (IGCC) as economical clean coal technologies for the 21st century have attracted considerable attention. The success of these advanced coal energy systems hinges on effective and reliable commercial-scale filtration of gases at very high temperatures. The Pinon Pine hot-gas filtration system is the first industrial-scale application of an advanced particle filtration system in the United States. The system currently is becoming operational and will provide significant practical insights into operation of the industrial-scale hot-gas cleaning process.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13146608" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4e6434a960ee30013f064098c7bdd9b8" rel="nofollow" data-download="{"attachment_id":45693631,"asset_id":13146608,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/45693631/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32399866" href="https://clarkson.academia.edu/GoodarzAhmadi">Goodarz Ahmadi</a><script data-card-contents-for-user="32399866" type="text/json">{"id":32399866,"first_name":"Goodarz","last_name":"Ahmadi","domain_name":"clarkson","page_name":"GoodarzAhmadi","display_name":"Goodarz Ahmadi","profile_url":"https://clarkson.academia.edu/GoodarzAhmadi?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_13146608 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="13146608"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 13146608, container: ".js-paper-rank-work_13146608", }); 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$(".js-view-count[data-work-id=13146608]").text(description); $(".js-view-count-work_13146608").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_13146608").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="13146608"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="60" rel="nofollow" href="https://www.academia.edu/Documents/in/Mechanical_Engineering">Mechanical Engineering</a>, <script data-card-contents-for-ri="60" type="text/json">{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="72" rel="nofollow" href="https://www.academia.edu/Documents/in/Chemical_Engineering">Chemical Engineering</a>, <script data-card-contents-for-ri="72" type="text/json">{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="400" rel="nofollow" href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a><script data-card-contents-for-ri="400" type="text/json">{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=13146608]'), work: {"id":13146608,"title":"Gas flow and particle deposition in the hot-gas filter vessel of the Pinon Pine project","created_at":"2015-06-21T07:42:18.622-07:00","url":"https://www.academia.edu/13146608/Gas_flow_and_particle_deposition_in_the_hot_gas_filter_vessel_of_the_Pinon_Pine_project?f_ri=2802","dom_id":"work_13146608","summary":"Advanced pressurized fluidized bed combustors (PFBC) and integrated gasification combined cycles (IGCC) as economical clean coal technologies for the 21st century have attracted considerable attention. The success of these advanced coal energy systems hinges on effective and reliable commercial-scale filtration of gases at very high temperatures. The Pinon Pine hot-gas filtration system is the first industrial-scale application of an advanced particle filtration system in the United States. The system currently is becoming operational and will provide significant practical insights into operation of the industrial-scale hot-gas cleaning process.","downloadable_attachments":[{"id":45693631,"asset_id":13146608,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32399866,"first_name":"Goodarz","last_name":"Ahmadi","domain_name":"clarkson","page_name":"GoodarzAhmadi","display_name":"Goodarz Ahmadi","profile_url":"https://clarkson.academia.edu/GoodarzAhmadi?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true},{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering?f_ri=2802","nofollow":true},{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=2802","nofollow":true},{"id":2298,"name":"Computational Fluid Dynamics","url":"https://www.academia.edu/Documents/in/Computational_Fluid_Dynamics?f_ri=2802"},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802"},{"id":12124,"name":"Filtration","url":"https://www.academia.edu/Documents/in/Filtration?f_ri=2802"},{"id":23020,"name":"Powder technology","url":"https://www.academia.edu/Documents/in/Powder_technology?f_ri=2802"},{"id":34388,"name":"Power Plant","url":"https://www.academia.edu/Documents/in/Power_Plant?f_ri=2802"},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation?f_ri=2802"},{"id":98134,"name":"United States","url":"https://www.academia.edu/Documents/in/United_States?f_ri=2802"},{"id":165873,"name":"Aerosol Science and Technology","url":"https://www.academia.edu/Documents/in/Aerosol_Science_and_Technology?f_ri=2802"},{"id":179332,"name":"Hydrodynamics","url":"https://www.academia.edu/Documents/in/Hydrodynamics?f_ri=2802"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES?f_ri=2802"},{"id":390245,"name":"Particle Size","url":"https://www.academia.edu/Documents/in/Particle_Size?f_ri=2802"},{"id":410412,"name":"Equation of Motion","url":"https://www.academia.edu/Documents/in/Equation_of_Motion?f_ri=2802"},{"id":781191,"name":"Particle Motion","url":"https://www.academia.edu/Documents/in/Particle_Motion?f_ri=2802"},{"id":897122,"name":"Gas Flow","url":"https://www.academia.edu/Documents/in/Gas_Flow?f_ri=2802"},{"id":1698479,"name":"Particle Deposition","url":"https://www.academia.edu/Documents/in/Particle_Deposition?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_63404064" data-work_id="63404064" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/63404064/Time_Domain_Calculations_of_Sound_Interactions_With_Outdoor_Ground_Surfaces">Time-Domain Calculations of Sound Interactions With Outdoor Ground Surfaces</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A time-domain formulation for sound propagation in rigid-frame porous media, including waveform attenuation and dispersion, is developed. The new formulation is based on inversion of the relaxation functions from a previous model [Wilson... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_63404064" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A time-domain formulation for sound propagation in rigid-frame porous media, including waveform attenuation and dispersion, is developed. The new formulation is based on inversion of the relaxation functions from a previous model [Wilson DK, Ostashev VE, Collier SL. J Acoust Soc Am 2004;116:1889-92], thereby casting the convolution integrals in a form amenable to numerical implementation. Numerical techniques are developed that accurately implement the relaxational equations and transparently reduce to previous results in low-and high-frequency limits. The techniques are demonstrated on calculations of outdoor sound propagation involving hills, barriers, and ground surfaces with various material properties. We also compare the relaxation formulation to a widely applied phenomenological model developed by Zwikker and Kosten. The two models can be made equivalent if the resistance constant, structure constant, and compression modulus in the ZK model are allowed to be weakly frequency dependent. But if the ZK parameters are taken to be constant, as is typically the case, the relaxation model provides more accurate calculations of attenuation by acoustically soft porous materials such as snow, gravel, and forest litter.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/63404064" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4af58c8e08f497ae8466879857754e00" rel="nofollow" data-download="{"attachment_id":75845779,"asset_id":63404064,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/75845779/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="87727723" href="https://independent.academia.edu/DavidMarlin1">David Marlin</a><script data-card-contents-for-user="87727723" type="text/json">{"id":87727723,"first_name":"David","last_name":"Marlin","domain_name":"independent","page_name":"DavidMarlin1","display_name":"David Marlin","profile_url":"https://independent.academia.edu/DavidMarlin1?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_63404064 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="63404064"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 63404064, container: ".js-paper-rank-work_63404064", }); 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$(".js-view-count[data-work-id=63404064]").text(description); $(".js-view-count-work_63404064").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_63404064").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="63404064"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">18</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="60" rel="nofollow" href="https://www.academia.edu/Documents/in/Mechanical_Engineering">Mechanical Engineering</a>, <script data-card-contents-for-ri="60" type="text/json">{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1372" rel="nofollow" href="https://www.academia.edu/Documents/in/Architecture">Architecture</a>, <script data-card-contents-for-ri="1372" type="text/json">{"id":1372,"name":"Architecture","url":"https://www.academia.edu/Documents/in/Architecture?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="9032" rel="nofollow" href="https://www.academia.edu/Documents/in/Interaction">Interaction</a><script data-card-contents-for-ri="9032" type="text/json">{"id":9032,"name":"Interaction","url":"https://www.academia.edu/Documents/in/Interaction?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=63404064]'), work: {"id":63404064,"title":"Time-Domain Calculations of Sound Interactions With Outdoor Ground Surfaces","created_at":"2021-12-06T22:41:57.957-08:00","url":"https://www.academia.edu/63404064/Time_Domain_Calculations_of_Sound_Interactions_With_Outdoor_Ground_Surfaces?f_ri=2802","dom_id":"work_63404064","summary":"A time-domain formulation for sound propagation in rigid-frame porous media, including waveform attenuation and dispersion, is developed. The new formulation is based on inversion of the relaxation functions from a previous model [Wilson DK, Ostashev VE, Collier SL. J Acoust Soc Am 2004;116:1889-92], thereby casting the convolution integrals in a form amenable to numerical implementation. Numerical techniques are developed that accurately implement the relaxational equations and transparently reduce to previous results in low-and high-frequency limits. The techniques are demonstrated on calculations of outdoor sound propagation involving hills, barriers, and ground surfaces with various material properties. We also compare the relaxation formulation to a widely applied phenomenological model developed by Zwikker and Kosten. The two models can be made equivalent if the resistance constant, structure constant, and compression modulus in the ZK model are allowed to be weakly frequency dependent. But if the ZK parameters are taken to be constant, as is typically the case, the relaxation model provides more accurate calculations of attenuation by acoustically soft porous materials such as snow, gravel, and forest litter.","downloadable_attachments":[{"id":75845779,"asset_id":63404064,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":87727723,"first_name":"David","last_name":"Marlin","domain_name":"independent","page_name":"DavidMarlin1","display_name":"David Marlin","profile_url":"https://independent.academia.edu/DavidMarlin1?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":1372,"name":"Architecture","url":"https://www.academia.edu/Documents/in/Architecture?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":9032,"name":"Interaction","url":"https://www.academia.edu/Documents/in/Interaction?f_ri=2802","nofollow":true},{"id":23890,"name":"Comparative Study","url":"https://www.academia.edu/Documents/in/Comparative_Study?f_ri=2802"},{"id":29263,"name":"Aeroacoustics","url":"https://www.academia.edu/Documents/in/Aeroacoustics?f_ri=2802"},{"id":48458,"name":"High Frequency","url":"https://www.academia.edu/Documents/in/High_Frequency?f_ri=2802"},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802"},{"id":80799,"name":"Classical Physics","url":"https://www.academia.edu/Documents/in/Classical_Physics?f_ri=2802"},{"id":90637,"name":"Porous Media","url":"https://www.academia.edu/Documents/in/Porous_Media?f_ri=2802"},{"id":176756,"name":"FORMULATION","url":"https://www.academia.edu/Documents/in/FORMULATION?f_ri=2802"},{"id":349439,"name":"Frequency Dependence","url":"https://www.academia.edu/Documents/in/Frequency_Dependence?f_ri=2802"},{"id":508740,"name":"Porous Material","url":"https://www.academia.edu/Documents/in/Porous_Material?f_ri=2802"},{"id":991005,"name":"Time Domain","url":"https://www.academia.edu/Documents/in/Time_Domain?f_ri=2802"},{"id":1001094,"name":"Material Properties","url":"https://www.academia.edu/Documents/in/Material_Properties?f_ri=2802"},{"id":1234852,"name":"Noise Barriers","url":"https://www.academia.edu/Documents/in/Noise_Barriers?f_ri=2802"},{"id":1280929,"name":"Applied Acoustics","url":"https://www.academia.edu/Documents/in/Applied_Acoustics?f_ri=2802"},{"id":1926798,"name":"PHENOMENOLOGICAL MODEL","url":"https://www.academia.edu/Documents/in/PHENOMENOLOGICAL_MODEL?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_61889433" data-work_id="61889433" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/61889433/Velocity_and_turbulence_structure_of_density_currents_and_internal_solitary_waves_potential_sediment_transport_and_the_formation_of_wave_ripples_in_deep_water">Velocity and turbulence structure of density currents and internal solitary waves: potential sediment transport and the formation of wave ripples in deep water</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Laser Doppler anemometry (LDA) was used to measure the instantaneous downstream and vertical velocities in a series of simple and reflected saline density currents in a lock-exchange flume tank. All the currents were turbulent and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_61889433" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Laser Doppler anemometry (LDA) was used to measure the instantaneous downstream and vertical velocities in a series of simple and reflected saline density currents in a lock-exchange flume tank. All the currents were turbulent and subcritical. Mean downstream fluid velocities were in excess of the head velocity by up to 30%, and instantaneous velocities were greater by up to 50%. Turbulence intensities were highest within the head, and generally greatest in the middle part of the current, but did not correspond with the level of highest mean velocities. The maximum Reynolds stress also occurred within the head; large negative values were associated with shear along the upper boundary of the current. Peaks of turbulence, Reynolds stress and shear velocity occurred in association with the arrival of reflections. In large-scale turbidity currents, suc!a reflections would be capable of re-entraining and resuspending sediment deposited by the forward current. Some reflections take the form of solitary waves within a residual flow with a velocity vector in the opposite direction. In nature, these could produce symmetrical ripples in environments below storm-wave base.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/61889433" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9e2901fc6b348ef4931833ab8c6f1e71" rel="nofollow" data-download="{"attachment_id":74808468,"asset_id":61889433,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74808468/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="41096150" href="https://independent.academia.edu/SeanBennett6">Sean Bennett</a><script data-card-contents-for-user="41096150" type="text/json">{"id":41096150,"first_name":"Sean","last_name":"Bennett","domain_name":"independent","page_name":"SeanBennett6","display_name":"Sean Bennett","profile_url":"https://independent.academia.edu/SeanBennett6?f_ri=2802","photo":"https://0.academia-photos.com/41096150/12393659/13795250/s65_sean.bennett.jpg_oh_b65caf73f7b1173b9aadbc7e41f7bc44_oe_57aeee4e"}</script></span></span></li><li class="js-paper-rank-work_61889433 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="61889433"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 61889433, container: ".js-paper-rank-work_61889433", }); });</script></li><li class="js-percentile-work_61889433 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 61889433; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_61889433"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_61889433 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="61889433"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 61889433; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=61889433]").text(description); $(".js-view-count-work_61889433").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_61889433").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="61889433"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="406" rel="nofollow" href="https://www.academia.edu/Documents/in/Geology">Geology</a>, <script data-card-contents-for-ri="406" type="text/json">{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="113501" rel="nofollow" href="https://www.academia.edu/Documents/in/Sediment_transport">Sediment transport</a>, <script data-card-contents-for-ri="113501" type="text/json">{"id":113501,"name":"Sediment transport","url":"https://www.academia.edu/Documents/in/Sediment_transport?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="156034" rel="nofollow" href="https://www.academia.edu/Documents/in/Sedimentary_Geology">Sedimentary Geology</a><script data-card-contents-for-ri="156034" type="text/json">{"id":156034,"name":"Sedimentary Geology","url":"https://www.academia.edu/Documents/in/Sedimentary_Geology?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=61889433]'), work: {"id":61889433,"title":"Velocity and turbulence structure of density currents and internal solitary waves: potential sediment transport and the formation of wave ripples in deep water","created_at":"2021-11-17T16:03:21.256-08:00","url":"https://www.academia.edu/61889433/Velocity_and_turbulence_structure_of_density_currents_and_internal_solitary_waves_potential_sediment_transport_and_the_formation_of_wave_ripples_in_deep_water?f_ri=2802","dom_id":"work_61889433","summary":"Laser Doppler anemometry (LDA) was used to measure the instantaneous downstream and vertical velocities in a series of simple and reflected saline density currents in a lock-exchange flume tank. All the currents were turbulent and subcritical. Mean downstream fluid velocities were in excess of the head velocity by up to 30%, and instantaneous velocities were greater by up to 50%. Turbulence intensities were highest within the head, and generally greatest in the middle part of the current, but did not correspond with the level of highest mean velocities. The maximum Reynolds stress also occurred within the head; large negative values were associated with shear along the upper boundary of the current. Peaks of turbulence, Reynolds stress and shear velocity occurred in association with the arrival of reflections. In large-scale turbidity currents, suc!a reflections would be capable of re-entraining and resuspending sediment deposited by the forward current. Some reflections take the form of solitary waves within a residual flow with a velocity vector in the opposite direction. In nature, these could produce symmetrical ripples in environments below storm-wave base.","downloadable_attachments":[{"id":74808468,"asset_id":61889433,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":41096150,"first_name":"Sean","last_name":"Bennett","domain_name":"independent","page_name":"SeanBennett6","display_name":"Sean Bennett","profile_url":"https://independent.academia.edu/SeanBennett6?f_ri=2802","photo":"https://0.academia-photos.com/41096150/12393659/13795250/s65_sean.bennett.jpg_oh_b65caf73f7b1173b9aadbc7e41f7bc44_oe_57aeee4e"}],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":113501,"name":"Sediment transport","url":"https://www.academia.edu/Documents/in/Sediment_transport?f_ri=2802","nofollow":true},{"id":156034,"name":"Sedimentary Geology","url":"https://www.academia.edu/Documents/in/Sedimentary_Geology?f_ri=2802","nofollow":true},{"id":173959,"name":"Current Density","url":"https://www.academia.edu/Documents/in/Current_Density?f_ri=2802"},{"id":322541,"name":"Deep water","url":"https://www.academia.edu/Documents/in/Deep_water?f_ri=2802"},{"id":329844,"name":"Experimental","url":"https://www.academia.edu/Documents/in/Experimental?f_ri=2802"},{"id":620328,"name":"Sediment Transport","url":"https://www.academia.edu/Documents/in/Sediment_Transport-5?f_ri=2802"},{"id":758278,"name":"Large Scale","url":"https://www.academia.edu/Documents/in/Large_Scale?f_ri=2802"},{"id":825918,"name":"Internal waves","url":"https://www.academia.edu/Documents/in/Internal_waves?f_ri=2802"},{"id":875521,"name":"Solitary Wave","url":"https://www.academia.edu/Documents/in/Solitary_Wave?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31514815" data-work_id="31514815" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31514815/Turbulence_strength_parameter_in_laboratory_and_natural_optical_experiments_in_non_Kolmogorov_cases">Turbulence strength parameter in laboratory and natural optical experiments in non-Kolmogorov cases</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Deviations in the behavior of structural function of a heated turbulent medium refractive index are studied in laboratory and natural experiments. It is shown that these deviations should be connected with the heating and helicity level... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_31514815" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Deviations in the behavior of structural function of a heated turbulent medium refractive index are studied in laboratory and natural experiments. It is shown that these deviations should be connected with the heating and helicity level of this medium.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31514815" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4c41b93de5c15551445525cb04e48a6d" rel="nofollow" data-download="{"attachment_id":51859304,"asset_id":31514815,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51859304/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="60311886" href="https://independent.academia.edu/EphimGolbraikh">Ephim Golbraikh</a><script data-card-contents-for-user="60311886" type="text/json">{"id":60311886,"first_name":"Ephim","last_name":"Golbraikh","domain_name":"independent","page_name":"EphimGolbraikh","display_name":"Ephim Golbraikh","profile_url":"https://independent.academia.edu/EphimGolbraikh?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_31514815 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31514815"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31514815, container: ".js-paper-rank-work_31514815", }); });</script></li><li class="js-percentile-work_31514815 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31514815; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31514815"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31514815 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31514815"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31514815; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31514815]").text(description); $(".js-view-count-work_31514815").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31514815").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31514815"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="151141" rel="nofollow" href="https://www.academia.edu/Documents/in/Refractive_Index">Refractive Index</a>, <script data-card-contents-for-ri="151141" type="text/json">{"id":151141,"name":"Refractive Index","url":"https://www.academia.edu/Documents/in/Refractive_Index?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="228868" rel="nofollow" href="https://www.academia.edu/Documents/in/Natural_experiment">Natural experiment</a>, <script data-card-contents-for-ri="228868" type="text/json">{"id":228868,"name":"Natural experiment","url":"https://www.academia.edu/Documents/in/Natural_experiment?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="263152" rel="nofollow" href="https://www.academia.edu/Documents/in/Optical_physics">Optical physics</a><script data-card-contents-for-ri="263152" type="text/json">{"id":263152,"name":"Optical physics","url":"https://www.academia.edu/Documents/in/Optical_physics?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31514815]'), work: {"id":31514815,"title":"Turbulence strength parameter in laboratory and natural optical experiments in non-Kolmogorov cases","created_at":"2017-02-19T05:10:46.398-08:00","url":"https://www.academia.edu/31514815/Turbulence_strength_parameter_in_laboratory_and_natural_optical_experiments_in_non_Kolmogorov_cases?f_ri=2802","dom_id":"work_31514815","summary":"Deviations in the behavior of structural function of a heated turbulent medium refractive index are studied in laboratory and natural experiments. It is shown that these deviations should be connected with the heating and helicity level of this medium.","downloadable_attachments":[{"id":51859304,"asset_id":31514815,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":60311886,"first_name":"Ephim","last_name":"Golbraikh","domain_name":"independent","page_name":"EphimGolbraikh","display_name":"Ephim Golbraikh","profile_url":"https://independent.academia.edu/EphimGolbraikh?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":151141,"name":"Refractive Index","url":"https://www.academia.edu/Documents/in/Refractive_Index?f_ri=2802","nofollow":true},{"id":228868,"name":"Natural experiment","url":"https://www.academia.edu/Documents/in/Natural_experiment?f_ri=2802","nofollow":true},{"id":263152,"name":"Optical physics","url":"https://www.academia.edu/Documents/in/Optical_physics?f_ri=2802","nofollow":true},{"id":1011864,"name":"Structure Function","url":"https://www.academia.edu/Documents/in/Structure_Function?f_ri=2802"},{"id":1237788,"name":"Electrical And Electronic Engineering","url":"https://www.academia.edu/Documents/in/Electrical_And_Electronic_Engineering?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8494584" data-work_id="8494584" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/8494584/Flow_analysis_in_a_channel_with_flexible_vegetation_using_double_averaging_method">Flow analysis in a channel with flexible vegetation using double-averaging method</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The paper addresses the problem of the resistance due to vegetation in an open channel flow, characterized by partially and fully submerged vegetation formed by colonies of bushes. The flow is characterized by significant spatial... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8494584" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The paper addresses the problem of the resistance due to vegetation in an open channel flow, characterized by partially and fully submerged vegetation formed by colonies of bushes. The flow is characterized by significant spatial variations of velocity between vertical profiles that make the traditional approach based on time averaging of turbulent fluctuations inconvenient. A more useful procedure, based on time and spatial averaging (Double-Averaging Method) is applied for the flow field analysis and characterization. The vertical distribution of mean velocity and turbulent stresses at different spatial locations has been measured with a 3D Acoustic Doppler Velocimeter (ADV) for two different vegetation densities where fully submerged real bushes (salix pentandra) have been used. Velocity measurements were completed together with the measurements of drag exerted on the flow by bushes at different flow depths. The analysis of velocity measurements allows depicting the fundamental characteristics of both the mean flow field and turbulence. The experimental data show that the contribution of form-induced stresses to the momentum balance cannot be neglected. The mean velocity profiles and the spatially averaged turbulent intensity profiles allow inferring that the vegetation density is a driving parameter for the development of a mixing layer at the canopy top in the case of submerged vegetation. Moreover, the net upward turbulent momentum flux, evaluated with the methodology proposed by Lu and Willmarth (1973), appears to be damped for increased vegetation density; this finding can rationally explain the reduction of the suspended sediment transport capacity typically observed in free surface flows over a vegetated bed.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8494584" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="81b1225adf63bf5c9167571efe84f669" rel="nofollow" data-download="{"attachment_id":48077123,"asset_id":8494584,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48077123/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="17360002" href="https://wwwunitn.academia.edu/mauriziorighetti">maurizio righetti</a><script data-card-contents-for-user="17360002" type="text/json">{"id":17360002,"first_name":"maurizio","last_name":"righetti","domain_name":"wwwunitn","page_name":"mauriziorighetti","display_name":"maurizio righetti","profile_url":"https://wwwunitn.academia.edu/mauriziorighetti?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_8494584 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8494584"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8494584, container: ".js-paper-rank-work_8494584", }); });</script></li><li class="js-percentile-work_8494584 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8494584; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_8494584"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_8494584 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="8494584"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8494584; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8494584]").text(description); $(".js-view-count-work_8494584").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8494584").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="8494584"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="409" rel="nofollow" href="https://www.academia.edu/Documents/in/Geophysics">Geophysics</a>, <script data-card-contents-for-ri="409" type="text/json">{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="223602" rel="nofollow" href="https://www.academia.edu/Documents/in/Suspended_Sediment">Suspended Sediment</a>, <script data-card-contents-for-ri="223602" type="text/json">{"id":223602,"name":"Suspended Sediment","url":"https://www.academia.edu/Documents/in/Suspended_Sediment?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="348052" rel="nofollow" href="https://www.academia.edu/Documents/in/Open_Channel_Flow">Open Channel Flow</a><script data-card-contents-for-ri="348052" type="text/json">{"id":348052,"name":"Open Channel Flow","url":"https://www.academia.edu/Documents/in/Open_Channel_Flow?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8494584]'), work: {"id":8494584,"title":"Flow analysis in a channel with flexible vegetation using double-averaging method","created_at":"2014-09-25T09:51:12.851-07:00","url":"https://www.academia.edu/8494584/Flow_analysis_in_a_channel_with_flexible_vegetation_using_double_averaging_method?f_ri=2802","dom_id":"work_8494584","summary":"The paper addresses the problem of the resistance due to vegetation in an open channel flow, characterized by partially and fully submerged vegetation formed by colonies of bushes. The flow is characterized by significant spatial variations of velocity between vertical profiles that make the traditional approach based on time averaging of turbulent fluctuations inconvenient. A more useful procedure, based on time and spatial averaging (Double-Averaging Method) is applied for the flow field analysis and characterization. The vertical distribution of mean velocity and turbulent stresses at different spatial locations has been measured with a 3D Acoustic Doppler Velocimeter (ADV) for two different vegetation densities where fully submerged real bushes (salix pentandra) have been used. Velocity measurements were completed together with the measurements of drag exerted on the flow by bushes at different flow depths. The analysis of velocity measurements allows depicting the fundamental characteristics of both the mean flow field and turbulence. The experimental data show that the contribution of form-induced stresses to the momentum balance cannot be neglected. The mean velocity profiles and the spatially averaged turbulent intensity profiles allow inferring that the vegetation density is a driving parameter for the development of a mixing layer at the canopy top in the case of submerged vegetation. Moreover, the net upward turbulent momentum flux, evaluated with the methodology proposed by Lu and Willmarth (1973), appears to be damped for increased vegetation density; this finding can rationally explain the reduction of the suspended sediment transport capacity typically observed in free surface flows over a vegetated bed.","downloadable_attachments":[{"id":48077123,"asset_id":8494584,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":17360002,"first_name":"maurizio","last_name":"righetti","domain_name":"wwwunitn","page_name":"mauriziorighetti","display_name":"maurizio righetti","profile_url":"https://wwwunitn.academia.edu/mauriziorighetti?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":223602,"name":"Suspended Sediment","url":"https://www.academia.edu/Documents/in/Suspended_Sediment?f_ri=2802","nofollow":true},{"id":348052,"name":"Open Channel Flow","url":"https://www.academia.edu/Documents/in/Open_Channel_Flow?f_ri=2802","nofollow":true},{"id":453368,"name":"Spatial Variation","url":"https://www.academia.edu/Documents/in/Spatial_Variation?f_ri=2802"},{"id":460754,"name":"Flow analysis","url":"https://www.academia.edu/Documents/in/Flow_analysis?f_ri=2802"},{"id":635488,"name":"Vertical Distribution","url":"https://www.academia.edu/Documents/in/Vertical_Distribution?f_ri=2802"},{"id":872390,"name":"Free Surface Flow","url":"https://www.academia.edu/Documents/in/Free_Surface_Flow?f_ri=2802"},{"id":875419,"name":"Velocity Profile","url":"https://www.academia.edu/Documents/in/Velocity_Profile?f_ri=2802"},{"id":997370,"name":"Acta Geophysica","url":"https://www.academia.edu/Documents/in/Acta_Geophysica?f_ri=2802"},{"id":1120502,"name":"Experimental Data","url":"https://www.academia.edu/Documents/in/Experimental_Data?f_ri=2802"},{"id":1565116,"name":"Mixed layer","url":"https://www.academia.edu/Documents/in/Mixed_layer?f_ri=2802"},{"id":2219023,"name":"Averaging method","url":"https://www.academia.edu/Documents/in/Averaging_method?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5081677" data-work_id="5081677" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5081677/EXPERIMENTAL_DETERMINATION_OF_EFFECTS_OF_FREE_SURFACE_AND_ITS_INTERACTION_WITH_SPHERE_WAKE_FLOW_FOR_AN_INLINE_TWO_SPHERES">EXPERIMENTAL DETERMINATION OF EFFECTS OF FREE SURFACE AND ITS INTERACTION WITH SPHERE WAKE FLOW FOR AN INLINE TWO SPHERES</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Two independent spheres were placed in an inline tandem position and wake region was investigated with a Particle Image Velocimetry (PIV) setup when the spheres were at a near position to the water surface flow. Spheres are for a special... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5081677" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Two independent spheres were placed in an inline tandem position and wake region was investigated with a Particle Image Velocimetry (PIV) setup when the spheres were at a near position to the water surface flow. Spheres are for a special case due to the occurrence of the three dimensional flow around the spheres. Twenty different inline array sphere positions were experimentally investigated in regards of instantaneous and time averaged vorticity data, stream lines of time averaged velocity vectors, scalar values of time-averaged velocity components and their root mean square (rms) values, and Reynolds stress correlations. Free flow surface greatly effects flow pattern, especially when spheres were located near to the surface. Different distances between the spheres yielded dissimilar results as the spheres are approached to the free surface. The instantaneous vorticity fields of the tandem arrangement reveal more unsteady wavy structure of the individual sphere wake. The concentration of small scale vortices (eddy) is more dominant in the wake of the sphere when the gap flow begins to occur. In general, the experimental results were quantitatively presented as a reference for future studies dealing with hydrodynamic interaction between the free stream surface and sphere models as far as validating CFD simulations.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5081677" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e2da7f904c8e4631d6d80ed77d5ad924" rel="nofollow" data-download="{"attachment_id":32300169,"asset_id":5081677,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/32300169/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3515536" href="https://selcuk.academia.edu/EyubCANLI">Eyüb CANLI</a><script data-card-contents-for-user="3515536" type="text/json">{"id":3515536,"first_name":"Eyüb","last_name":"CANLI","domain_name":"selcuk","page_name":"EyubCANLI","display_name":"Eyüb CANLI","profile_url":"https://selcuk.academia.edu/EyubCANLI?f_ri=2802","photo":"https://0.academia-photos.com/3515536/1479370/1804945/s65_eyub.canli.jpg"}</script></span></span></li><li class="js-paper-rank-work_5081677 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5081677"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5081677, container: ".js-paper-rank-work_5081677", }); 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$(".js-view-count[data-work-id=5081677]").text(description); $(".js-view-count-work_5081677").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5081677").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5081677"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="144041" rel="nofollow" href="https://www.academia.edu/Documents/in/SPHERE">SPHERE</a>, <script data-card-contents-for-ri="144041" type="text/json">{"id":144041,"name":"SPHERE","url":"https://www.academia.edu/Documents/in/SPHERE?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="188736" rel="nofollow" href="https://www.academia.edu/Documents/in/Shear_Flow">Shear Flow</a>, <script data-card-contents-for-ri="188736" type="text/json">{"id":188736,"name":"Shear Flow","url":"https://www.academia.edu/Documents/in/Shear_Flow?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="358113" rel="nofollow" href="https://www.academia.edu/Documents/in/PIV">PIV</a><script data-card-contents-for-ri="358113" type="text/json">{"id":358113,"name":"PIV","url":"https://www.academia.edu/Documents/in/PIV?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5081677]'), work: {"id":5081677,"title":"EXPERIMENTAL DETERMINATION OF EFFECTS OF FREE SURFACE AND ITS INTERACTION WITH SPHERE WAKE FLOW FOR AN INLINE TWO SPHERES","created_at":"2013-11-12T18:06:25.289-08:00","url":"https://www.academia.edu/5081677/EXPERIMENTAL_DETERMINATION_OF_EFFECTS_OF_FREE_SURFACE_AND_ITS_INTERACTION_WITH_SPHERE_WAKE_FLOW_FOR_AN_INLINE_TWO_SPHERES?f_ri=2802","dom_id":"work_5081677","summary":"Two independent spheres were placed in an inline tandem position and wake region was investigated with a Particle Image Velocimetry (PIV) setup when the spheres were at a near position to the water surface flow. Spheres are for a special case due to the occurrence of the three dimensional flow around the spheres. Twenty different inline array sphere positions were experimentally investigated in regards of instantaneous and time averaged vorticity data, stream lines of time averaged velocity vectors, scalar values of time-averaged velocity components and their root mean square (rms) values, and Reynolds stress correlations. Free flow surface greatly effects flow pattern, especially when spheres were located near to the surface. Different distances between the spheres yielded dissimilar results as the spheres are approached to the free surface. The instantaneous vorticity fields of the tandem arrangement reveal more unsteady wavy structure of the individual sphere wake. The concentration of small scale vortices (eddy) is more dominant in the wake of the sphere when the gap flow begins to occur. In general, the experimental results were quantitatively presented as a reference for future studies dealing with hydrodynamic interaction between the free stream surface and sphere models as far as validating CFD simulations.","downloadable_attachments":[{"id":32300169,"asset_id":5081677,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3515536,"first_name":"Eyüb","last_name":"CANLI","domain_name":"selcuk","page_name":"EyubCANLI","display_name":"Eyüb CANLI","profile_url":"https://selcuk.academia.edu/EyubCANLI?f_ri=2802","photo":"https://0.academia-photos.com/3515536/1479370/1804945/s65_eyub.canli.jpg"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":144041,"name":"SPHERE","url":"https://www.academia.edu/Documents/in/SPHERE?f_ri=2802","nofollow":true},{"id":188736,"name":"Shear Flow","url":"https://www.academia.edu/Documents/in/Shear_Flow?f_ri=2802","nofollow":true},{"id":358113,"name":"PIV","url":"https://www.academia.edu/Documents/in/PIV?f_ri=2802","nofollow":true},{"id":872390,"name":"Free Surface Flow","url":"https://www.academia.edu/Documents/in/Free_Surface_Flow?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_60751165" data-work_id="60751165" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/60751165/Modeling_of_bubble_break_up_in_stirred_tanks">Modeling of bubble break-up in stirred tanks</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The Lagrangian code LAG3D for dispersed phase flow modeling was implemented with the introduction of bubble break-up model. The research was restricted on bubbles with diameter less than 2 mm, ie bubbles which could be treated as spheres.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_60751165" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The Lagrangian code LAG3D for dispersed phase flow modeling was implemented with the introduction of bubble break-up model. The research was restricted on bubbles with diameter less than 2 mm, ie bubbles which could be treated as spheres. The model was ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/60751165" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="19aff4139db39b1454b3e154d8376d31" rel="nofollow" data-download="{"attachment_id":74054399,"asset_id":60751165,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74054399/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="25697567" href="https://independent.academia.edu/StevanNemoda">Stevan Nemoda</a><script data-card-contents-for-user="25697567" type="text/json">{"id":25697567,"first_name":"Stevan","last_name":"Nemoda","domain_name":"independent","page_name":"StevanNemoda","display_name":"Stevan Nemoda","profile_url":"https://independent.academia.edu/StevanNemoda?f_ri=2802","photo":"https://0.academia-photos.com/25697567/7024068/7918553/s65_stevan.nemoda.jpg_oh_9a9bf89f20022d0c02e21a73f2094e9c_oe_5555afee___gda___1432880611_d00ccf01732825ea3cffcaf31b19de06"}</script></span></span></li><li class="js-paper-rank-work_60751165 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="60751165"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 60751165, container: ".js-paper-rank-work_60751165", }); 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The research was restricted on bubbles with diameter less than 2 mm, ie bubbles which could be treated as spheres. The model was ...","downloadable_attachments":[{"id":74054399,"asset_id":60751165,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":25697567,"first_name":"Stevan","last_name":"Nemoda","domain_name":"independent","page_name":"StevanNemoda","display_name":"Stevan Nemoda","profile_url":"https://independent.academia.edu/StevanNemoda?f_ri=2802","photo":"https://0.academia-photos.com/25697567/7024068/7918553/s65_stevan.nemoda.jpg_oh_9a9bf89f20022d0c02e21a73f2094e9c_oe_5555afee___gda___1432880611_d00ccf01732825ea3cffcaf31b19de06"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":61684,"name":"Model","url":"https://www.academia.edu/Documents/in/Model?f_ri=2802","nofollow":true},{"id":80202,"name":"Experiment","url":"https://www.academia.edu/Documents/in/Experiment?f_ri=2802","nofollow":true},{"id":460900,"name":"Thermal Science","url":"https://www.academia.edu/Documents/in/Thermal_Science?f_ri=2802","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_60421147" data-work_id="60421147" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/60421147/An_Experimental_Convective_Heat_Transfer_Investigation_Around_a_Film_Cooled_Gas_Turbine_Blade">An Experimental Convective Heat Transfer Investigation Around a Film-Cooled Gas Turbine Blade</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The present paper deals with an experimental convective heat transfer investigation around a film-cooled, high-pressure gas turbine rotor blade mounted in a stationary, linear cascade arrangement. The measurements were performed in the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_60421147" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The present paper deals with an experimental convective heat transfer investigation around a film-cooled, high-pressure gas turbine rotor blade mounted in a stationary, linear cascade arrangement. The measurements were performed in the von Karman Institute Isentropic Light Piston Compression Tube facility. The test blade was made of Macor glass ceramic and was instrumented with thin film gages. The coolant flow was ejected simultaneously through the leading edge (three rows of holes), the suction side (two rows of holes), and the pressure side (one row of holes). The effects of overall mass weight ratio, coolant to free-stream temperature ratio, and free-stream turbulence were successively investigated.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/60421147" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="70c1d51c6609f103e05ac20955be50df" rel="nofollow" data-download="{"attachment_id":73875643,"asset_id":60421147,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/73875643/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="23470317" href="https://personal-psu.academia.edu/CengizCamci">Cengiz Camci</a><script data-card-contents-for-user="23470317" type="text/json">{"id":23470317,"first_name":"Cengiz","last_name":"Camci","domain_name":"personal-psu","page_name":"CengizCamci","display_name":"Cengiz Camci","profile_url":"https://personal-psu.academia.edu/CengizCamci?f_ri=2802","photo":"https://0.academia-photos.com/23470317/7160505/8064066/s65_cengiz.camci.jpg"}</script></span></span></li><li class="js-paper-rank-work_60421147 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="60421147"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 60421147, container: ".js-paper-rank-work_60421147", }); 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The measurements were performed in the von Karman Institute Isentropic Light Piston Compression Tube facility. The test blade was made of Macor glass ceramic and was instrumented with thin film gages. The coolant flow was ejected simultaneously through the leading edge (three rows of holes), the suction side (two rows of holes), and the pressure side (one row of holes). The effects of overall mass weight ratio, coolant to free-stream temperature ratio, and free-stream turbulence were successively investigated.","downloadable_attachments":[{"id":73875643,"asset_id":60421147,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":23470317,"first_name":"Cengiz","last_name":"Camci","domain_name":"personal-psu","page_name":"CengizCamci","display_name":"Cengiz Camci","profile_url":"https://personal-psu.academia.edu/CengizCamci?f_ri=2802","photo":"https://0.academia-photos.com/23470317/7160505/8064066/s65_cengiz.camci.jpg"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=2802","nofollow":true},{"id":1327,"name":"Convection","url":"https://www.academia.edu/Documents/in/Convection?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":4107,"name":"High Pressure","url":"https://www.academia.edu/Documents/in/High_Pressure?f_ri=2802"},{"id":7742,"name":"Glass","url":"https://www.academia.edu/Documents/in/Glass?f_ri=2802"},{"id":8067,"name":"Heat Transfer","url":"https://www.academia.edu/Documents/in/Heat_Transfer?f_ri=2802"},{"id":17196,"name":"GAS TURBINE","url":"https://www.academia.edu/Documents/in/GAS_TURBINE?f_ri=2802"},{"id":49427,"name":"Thin Films","url":"https://www.academia.edu/Documents/in/Thin_Films?f_ri=2802"},{"id":58128,"name":"Ceramics","url":"https://www.academia.edu/Documents/in/Ceramics?f_ri=2802"},{"id":96446,"name":"Measurement","url":"https://www.academia.edu/Documents/in/Measurement?f_ri=2802"},{"id":101573,"name":"Thin Film","url":"https://www.academia.edu/Documents/in/Thin_Film?f_ri=2802"},{"id":118070,"name":"Turbomachinery","url":"https://www.academia.edu/Documents/in/Turbomachinery?f_ri=2802"},{"id":133177,"name":"Temperature","url":"https://www.academia.edu/Documents/in/Temperature?f_ri=2802"},{"id":171114,"name":"Turbulent Flow","url":"https://www.academia.edu/Documents/in/Turbulent_Flow?f_ri=2802"},{"id":325234,"name":"Compression","url":"https://www.academia.edu/Documents/in/Compression?f_ri=2802"},{"id":661889,"name":"Convective Heat Transfer","url":"https://www.academia.edu/Documents/in/Convective_Heat_Transfer?f_ri=2802"},{"id":862505,"name":"Suction","url":"https://www.academia.edu/Documents/in/Suction?f_ri=2802"},{"id":898062,"name":"Flow Rate","url":"https://www.academia.edu/Documents/in/Flow_Rate?f_ri=2802"},{"id":1327715,"name":"Coolants","url":"https://www.academia.edu/Documents/in/Coolants?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7018060 coauthored" data-work_id="7018060" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7018060/Numerical_simulations_of_frazil_ice_dynamics_in_the_upper_layers_of_the_ocean">Numerical simulations of frazil ice dynamics in the upper layers of the ocean</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The frazil ice dynamics in a turbulent Ekman layer have been investigated using a mathematical model. The model is based on the conservation equations for mean momentum, energy and salinity, and employs a two-equation turbulence model for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7018060" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The frazil ice dynamics in a turbulent Ekman layer have been investigated using a mathematical model. The model is based on the conservation equations for mean momentum, energy and salinity, and employs a two-equation turbulence model for the determination of turbulent diffusion coefficients. A crystal number continuity equation is used for the prediction of the frazil ice dynamics. This equation considers several processes of importance, as for example turbulent diffusion, gravitational up-drift, flocculationrbreak-up and growth. The results focus on the frazil ice characteristics in the upper layers of the ocean, like suspended ice volume, ice crystals per m 3 , vertical distributions, etc. From the idealized calculations, it is indicated that a large number of ice crystals can be mixed into the ocean during freezing. However, the amount of ice in suspension, measured as vertically integrated ice thickness, adds only a minor part to the total surface ice budget. Small crystals are mixed deep in the ocean while the large ones are found only in the top of the mixed layer. Knowledge about the vertical distribution of ice crystals of different sizes, which is calculated from the model, should be of importance when analysing processes as formation of ice covers in the ocean and ice-sediment or ice-algae interaction. q They assume some initial ice thickness, from which the ice is assumed to grow, and sometimes simplify the problem by introducing the so-called freezing degree-day method or assuming a linear temperature change in the ice, and the ice growth becomes propotional to the square root of time. The physical processes in mind using the above method, are related to columnar ice growth. In the ocean, the initial ice formation is, however, often related to frazil ice formation, in which all heat losses from the open water is transformed into suspended ice crystals and the ice growth becomes linear with time. Frazil ice 0165-232Xr98r$ -see front matter q 1998 Elsevier Science B.V. 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The model is based on the conservation equations for mean momentum, energy and salinity, and employs a two-equation turbulence model for the determination of turbulent diffusion coefficients. A crystal number continuity equation is used for the prediction of the frazil ice dynamics. This equation considers several processes of importance, as for example turbulent diffusion, gravitational up-drift, flocculationrbreak-up and growth. The results focus on the frazil ice characteristics in the upper layers of the ocean, like suspended ice volume, ice crystals per m 3 , vertical distributions, etc. From the idealized calculations, it is indicated that a large number of ice crystals can be mixed into the ocean during freezing. However, the amount of ice in suspension, measured as vertically integrated ice thickness, adds only a minor part to the total surface ice budget. Small crystals are mixed deep in the ocean while the large ones are found only in the top of the mixed layer. Knowledge about the vertical distribution of ice crystals of different sizes, which is calculated from the model, should be of importance when analysing processes as formation of ice covers in the ocean and ice-sediment or ice-algae interaction. q They assume some initial ice thickness, from which the ice is assumed to grow, and sometimes simplify the problem by introducing the so-called freezing degree-day method or assuming a linear temperature change in the ice, and the ice growth becomes propotional to the square root of time. The physical processes in mind using the above method, are related to columnar ice growth. In the ocean, the initial ice formation is, however, often related to frazil ice formation, in which all heat losses from the open water is transformed into suspended ice crystals and the ice growth becomes linear with time. Frazil ice 0165-232Xr98r$ -see front matter q 1998 Elsevier Science B.V. All rights reserved.","downloadable_attachments":[{"id":48630661,"asset_id":7018060,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":11956707,"first_name":"Anders","last_name":"Omstedt","domain_name":"gu-se","page_name":"AndersOmstedt","display_name":"Anders Omstedt","profile_url":"https://gu-se.academia.edu/AndersOmstedt?f_ri=2802","photo":"https://0.academia-photos.com/11956707/9542001/60445714/s65_anders.omstedt.jpg"},{"id":159202366,"first_name":"Urban","last_name":"Svensson","domain_name":"independent","page_name":"UrbanSvensson","display_name":"Urban Svensson","profile_url":"https://independent.academia.edu/UrbanSvensson?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802","nofollow":true},{"id":291387,"name":"Mathematical Model","url":"https://www.academia.edu/Documents/in/Mathematical_Model?f_ri=2802","nofollow":true},{"id":393178,"name":"Vertical Integration","url":"https://www.academia.edu/Documents/in/Vertical_Integration?f_ri=2802"},{"id":538699,"name":"Ekman layer","url":"https://www.academia.edu/Documents/in/Ekman_layer?f_ri=2802"},{"id":556671,"name":"Turbulent Diffusion","url":"https://www.academia.edu/Documents/in/Turbulent_Diffusion?f_ri=2802"},{"id":635488,"name":"Vertical Distribution","url":"https://www.academia.edu/Documents/in/Vertical_Distribution?f_ri=2802"},{"id":837211,"name":"Turbulence Model","url":"https://www.academia.edu/Documents/in/Turbulence_Model?f_ri=2802"},{"id":1565116,"name":"Mixed layer","url":"https://www.academia.edu/Documents/in/Mixed_layer?f_ri=2802"},{"id":2058346,"name":"Continuity Equation","url":"https://www.academia.edu/Documents/in/Continuity_Equation?f_ri=2802"},{"id":2246268,"name":"Cold Regions Science and Technology","url":"https://www.academia.edu/Documents/in/Cold_Regions_Science_and_Technology?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_4138189" data-work_id="4138189" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/4138189/Turbulent_decay_of_a_passive_scalar_in_the_Batchelor_limit_Exact_results_from_a_quantum_mechanical_approach">Turbulent decay of a passive scalar in the Batchelor limit: Exact results from a quantum-mechanical approach</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We show that the decay of a passive scalar θ advected by a random incompressible flow with zero correlation time in the Batchelor limit can be mapped exactly to a certain quantum-mechanical system with a finite number of degrees of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4138189" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We show that the decay of a passive scalar θ advected by a random incompressible flow with zero correlation time in the Batchelor limit can be mapped exactly to a certain quantum-mechanical system with a finite number of degrees of freedom. The Schrödinger equation is derived and its solution is analyzed for the case where, at the beginning, the scalar has Gaussian statistics with correlation function of the form e −|x−y| 2 . Any equal-time correlation function of the scalar can be expressed via the solution to the Schrödinger equation in a closed algebraic form. We find that the scalar is intermittent during its decay and the average of |θ| α (assuming zero mean value of θ) falls as e −γαDt at large t, where D is a parameter of the flow, γ α = 1 4 α(6 − α) for 0 < α < 3, and γ α = 9 4 for α ≥ 3, independent of α.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4138189" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1e320b99a94ebe0e9049f758b1cf5279" rel="nofollow" data-download="{"attachment_id":50018124,"asset_id":4138189,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50018124/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2648822" href="https://independent.academia.edu/gitamo">Dr. Immanuel Gitamo</a><script data-card-contents-for-user="2648822" type="text/json">{"id":2648822,"first_name":"Dr. Immanuel","last_name":"Gitamo","domain_name":"independent","page_name":"gitamo","display_name":"Dr. Immanuel Gitamo","profile_url":"https://independent.academia.edu/gitamo?f_ri=2802","photo":"https://0.academia-photos.com/2648822/844553/1049705/s65_maji.zawadi.jpg"}</script></span></span></li><li class="js-paper-rank-work_4138189 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4138189"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4138189, container: ".js-paper-rank-work_4138189", }); 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$(".js-view-count[data-work-id=4138189]").text(description); $(".js-view-count-work_4138189").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_4138189").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="4138189"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="498" rel="nofollow" href="https://www.academia.edu/Documents/in/Physics">Physics</a>, <script data-card-contents-for-ri="498" type="text/json">{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="7936" rel="nofollow" href="https://www.academia.edu/Documents/in/Quantum_Mechanics">Quantum Mechanics</a>, <script data-card-contents-for-ri="7936" type="text/json">{"id":7936,"name":"Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Quantum_Mechanics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="55549" rel="nofollow" href="https://www.academia.edu/Documents/in/Gaussian_processes">Gaussian processes</a><script data-card-contents-for-ri="55549" type="text/json">{"id":55549,"name":"Gaussian processes","url":"https://www.academia.edu/Documents/in/Gaussian_processes?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4138189]'), work: {"id":4138189,"title":"Turbulent decay of a passive scalar in the Batchelor limit: Exact results from a quantum-mechanical approach","created_at":"2013-07-30T06:22:10.303-07:00","url":"https://www.academia.edu/4138189/Turbulent_decay_of_a_passive_scalar_in_the_Batchelor_limit_Exact_results_from_a_quantum_mechanical_approach?f_ri=2802","dom_id":"work_4138189","summary":"We show that the decay of a passive scalar θ advected by a random incompressible flow with zero correlation time in the Batchelor limit can be mapped exactly to a certain quantum-mechanical system with a finite number of degrees of freedom. The Schrödinger equation is derived and its solution is analyzed for the case where, at the beginning, the scalar has Gaussian statistics with correlation function of the form e −|x−y| 2 . Any equal-time correlation function of the scalar can be expressed via the solution to the Schrödinger equation in a closed algebraic form. We find that the scalar is intermittent during its decay and the average of |θ| α (assuming zero mean value of θ) falls as e −γαDt at large t, where D is a parameter of the flow, γ α = 1 4 α(6 − α) for 0 \u003c α \u003c 3, and γ α = 9 4 for α ≥ 3, independent of α.","downloadable_attachments":[{"id":50018124,"asset_id":4138189,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2648822,"first_name":"Dr. Immanuel","last_name":"Gitamo","domain_name":"independent","page_name":"gitamo","display_name":"Dr. Immanuel Gitamo","profile_url":"https://independent.academia.edu/gitamo?f_ri=2802","photo":"https://0.academia-photos.com/2648822/844553/1049705/s65_maji.zawadi.jpg"}],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":7936,"name":"Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Quantum_Mechanics?f_ri=2802","nofollow":true},{"id":55549,"name":"Gaussian processes","url":"https://www.academia.edu/Documents/in/Gaussian_processes?f_ri=2802","nofollow":true},{"id":83315,"name":"Diffusion","url":"https://www.academia.edu/Documents/in/Diffusion?f_ri=2802"},{"id":171114,"name":"Turbulent Flow","url":"https://www.academia.edu/Documents/in/Turbulent_Flow?f_ri=2802"},{"id":412119,"name":"Schroedinger Equation","url":"https://www.academia.edu/Documents/in/Schroedinger_Equation?f_ri=2802"},{"id":688446,"name":"Gaussian Process","url":"https://www.academia.edu/Documents/in/Gaussian_Process?f_ri=2802"},{"id":898085,"name":"Incompressible Flow","url":"https://www.academia.edu/Documents/in/Incompressible_Flow?f_ri=2802"},{"id":1242198,"name":"Degree of Freedom","url":"https://www.academia.edu/Documents/in/Degree_of_Freedom?f_ri=2802"},{"id":2382100,"name":"Correlation function","url":"https://www.academia.edu/Documents/in/Correlation_function?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_66802327" data-work_id="66802327" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/66802327/A_similarity_theory_of_approximate_deconvolution_models_of_turbulence">A similarity theory of approximate deconvolution models of turbulence</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We apply the phenomenology of homogeneous, isotropic turbulence to the family of approximate deconvolution models proposed by Stolz and Adams. In particular, we establish that the models themselves have an energy cascade with two... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_66802327" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We apply the phenomenology of homogeneous, isotropic turbulence to the family of approximate deconvolution models proposed by Stolz and Adams. In particular, we establish that the models themselves have an energy cascade with two asymptotically di¤erent inertial ranges. Delineation of these gives insight into the resolution requirements of using approximate deconvolution models. The approximate deconvolution model's energy balance contains both an enhanced energy dissipation and a modi…cation to the model's kinetic energy. The modi…cation of the model's kinetic energy induces a secondary energy cascade which accelerates scale truncation. The enhanced energy dissipation completes the scale truncation by reducing the model's micro-scale from the Kolmogorov micro-scale.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/66802327" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c33e38bea3d64cfd9ff255691d69e611" rel="nofollow" data-download="{"attachment_id":77854360,"asset_id":66802327,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/77854360/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="43232964" href="https://independent.academia.edu/MonikaNeda">Monika Neda</a><script data-card-contents-for-user="43232964" type="text/json">{"id":43232964,"first_name":"Monika","last_name":"Neda","domain_name":"independent","page_name":"MonikaNeda","display_name":"Monika Neda","profile_url":"https://independent.academia.edu/MonikaNeda?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_66802327 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="66802327"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 66802327, container: ".js-paper-rank-work_66802327", }); 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In particular, we establish that the models themselves have an energy cascade with two asymptotically di¤erent inertial ranges. Delineation of these gives insight into the resolution requirements of using approximate deconvolution models. The approximate deconvolution model's energy balance contains both an enhanced energy dissipation and a modi…cation to the model's kinetic energy. The modi…cation of the model's kinetic energy induces a secondary energy cascade which accelerates scale truncation. The enhanced energy dissipation completes the scale truncation by reducing the model's micro-scale from the Kolmogorov micro-scale.","downloadable_attachments":[{"id":77854360,"asset_id":66802327,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":43232964,"first_name":"Monika","last_name":"Neda","domain_name":"independent","page_name":"MonikaNeda","display_name":"Monika Neda","profile_url":"https://independent.academia.edu/MonikaNeda?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":10717,"name":"Large Eddy Simulation","url":"https://www.academia.edu/Documents/in/Large_Eddy_Simulation?f_ri=2802","nofollow":true},{"id":19997,"name":"Pure Mathematics","url":"https://www.academia.edu/Documents/in/Pure_Mathematics?f_ri=2802","nofollow":true},{"id":48636,"name":"Simulation","url":"https://www.academia.edu/Documents/in/Simulation?f_ri=2802"},{"id":86034,"name":"Mathematical Analysis","url":"https://www.academia.edu/Documents/in/Mathematical_Analysis?f_ri=2802"},{"id":88383,"name":"Deconvolution","url":"https://www.academia.edu/Documents/in/Deconvolution?f_ri=2802"},{"id":133295,"name":"Energy Balance","url":"https://www.academia.edu/Documents/in/Energy_Balance?f_ri=2802"},{"id":232858,"name":"Energy Dissipation","url":"https://www.academia.edu/Documents/in/Energy_Dissipation?f_ri=2802"},{"id":263097,"name":"Application","url":"https://www.academia.edu/Documents/in/Application?f_ri=2802"},{"id":345255,"name":"Truncation","url":"https://www.academia.edu/Documents/in/Truncation?f_ri=2802"},{"id":413295,"name":"Kinetic Energy","url":"https://www.academia.edu/Documents/in/Kinetic_Energy?f_ri=2802"},{"id":518958,"name":"Mathematical Analysis and Applications","url":"https://www.academia.edu/Documents/in/Mathematical_Analysis_and_Applications?f_ri=2802"},{"id":1237788,"name":"Electrical And Electronic Engineering","url":"https://www.academia.edu/Documents/in/Electrical_And_Electronic_Engineering?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_22600548" data-work_id="22600548" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/22600548/Ignition_of_turbulent_non_premixed_flames">Ignition of turbulent non-premixed flames</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The initiation of turbulent non-premixed combustion of gaseous fuels through autoignition and through spark ignition is reviewed, motivated by the increasing relevance of these phenomena for new combustion technologies. The fundamentals... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_22600548" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The initiation of turbulent non-premixed combustion of gaseous fuels through autoignition and through spark ignition is reviewed, motivated by the increasing relevance of these phenomena for new combustion technologies. The fundamentals of the associated turbulent-chemistry interactions are emphasized. Background information from corresponding laminar flow problems, relevant turbulent combustion modelling approaches, and the ignition of turbulent sprays are included. For both autoignition and spark ignition, examination of the reaction zones in mixture fraction space is revealing. We review experimental and numerical data on the stochastic nature of the emergence of autoignition kernels and of the creation of kernels and subsequent flame establishment following spark ignition, aiming to reveal the particular facet of the turbulence causing the stochasticity. In contrast to fullyfledged turbulent combustion where the effects of turbulence on the reaction are reasonably wellestablished, at least qualitatively, here the turbulence can cause trends that are not straightforward. Autoignition occurs usually away from stoichiometry at a ''most reactive mixture fraction'', which can be approximately determined from homogeneous or laminar flow autoignition calculations, and at locations in the turbulent flow with low scalar dissipation. Such locations may be the cores of vortices. Once autoignition has occurred at a time that is mostly affected by the history of the conditional scalar dissipation, the relative magnitudes of convection, diffusion and reaction can affect the stabilisation height of flames in sprays or jets. Modelling efforts based on the Conditional Moment Closure, advanced flamelet approaches, and the transported PDF method seem suitable for capturing many, but not yet all, of the trends observed in DNS or experiment. Further experiments and DNS of realistic fuels and at conditions demonstrating chemical complexities must be performed to examine more fully the effects of scalar dissipation and its fluctuations on pre-ignition reaction zones. The statistics of the first appearance of autoignition in transient problems and its connection with the mixing field must also be studied. Ignition from a localised spark has a stochastic character that depends on the mixture fraction sampled at the spark location and duration and the local scalar dissipation. The success or not of the subsequent flame depends on the development of turbulent edge or stratified flames. Only preliminary data exist on the propagation speed of such flames and on their quenching. A lot remains to be done on turbulent edge flame propagation in unreacted and partially-reacted mixtures with inhomogeneities, turbulent flame propagation in non-uniformly dispersed droplet mists, and the transient stabilisation process of recirculating flames. The nature of the flame generation process at very short timescales, i.e. before any appreciable propagation, by sparking in inhomogeneous mixtures needs also to be examined. The development of high repetition rate diagnostics, for single-and two-phase flows, and the development of modelling approaches capturing both premixed and non-premixed reaction zones in gaseous and spray combustion are necessary.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/22600548" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="26ce11e7be6c104dfbd05ae7daefe2f4" rel="nofollow" data-download="{"attachment_id":43201825,"asset_id":22600548,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43201825/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="44155588" href="https://cambridge.academia.edu/EpaminondasMastorakos">Epaminondas Mastorakos</a><script data-card-contents-for-user="44155588" type="text/json">{"id":44155588,"first_name":"Epaminondas","last_name":"Mastorakos","domain_name":"cambridge","page_name":"EpaminondasMastorakos","display_name":"Epaminondas Mastorakos","profile_url":"https://cambridge.academia.edu/EpaminondasMastorakos?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_22600548 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="22600548"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 22600548, container: ".js-paper-rank-work_22600548", }); 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$(".js-view-count[data-work-id=22600548]").text(description); $(".js-view-count-work_22600548").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_22600548").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="22600548"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">18</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="60" rel="nofollow" href="https://www.academia.edu/Documents/in/Mechanical_Engineering">Mechanical Engineering</a>, <script data-card-contents-for-ri="60" type="text/json">{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="72" rel="nofollow" href="https://www.academia.edu/Documents/in/Chemical_Engineering">Chemical Engineering</a>, <script data-card-contents-for-ri="72" type="text/json">{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1327" rel="nofollow" href="https://www.academia.edu/Documents/in/Convection">Convection</a>, <script data-card-contents-for-ri="1327" type="text/json">{"id":1327,"name":"Convection","url":"https://www.academia.edu/Documents/in/Convection?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a><script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=22600548]'), work: {"id":22600548,"title":"Ignition of turbulent non-premixed flames","created_at":"2016-02-29T07:25:57.470-08:00","url":"https://www.academia.edu/22600548/Ignition_of_turbulent_non_premixed_flames?f_ri=2802","dom_id":"work_22600548","summary":"The initiation of turbulent non-premixed combustion of gaseous fuels through autoignition and through spark ignition is reviewed, motivated by the increasing relevance of these phenomena for new combustion technologies. The fundamentals of the associated turbulent-chemistry interactions are emphasized. Background information from corresponding laminar flow problems, relevant turbulent combustion modelling approaches, and the ignition of turbulent sprays are included. For both autoignition and spark ignition, examination of the reaction zones in mixture fraction space is revealing. We review experimental and numerical data on the stochastic nature of the emergence of autoignition kernels and of the creation of kernels and subsequent flame establishment following spark ignition, aiming to reveal the particular facet of the turbulence causing the stochasticity. In contrast to fullyfledged turbulent combustion where the effects of turbulence on the reaction are reasonably wellestablished, at least qualitatively, here the turbulence can cause trends that are not straightforward. Autoignition occurs usually away from stoichiometry at a ''most reactive mixture fraction'', which can be approximately determined from homogeneous or laminar flow autoignition calculations, and at locations in the turbulent flow with low scalar dissipation. Such locations may be the cores of vortices. Once autoignition has occurred at a time that is mostly affected by the history of the conditional scalar dissipation, the relative magnitudes of convection, diffusion and reaction can affect the stabilisation height of flames in sprays or jets. Modelling efforts based on the Conditional Moment Closure, advanced flamelet approaches, and the transported PDF method seem suitable for capturing many, but not yet all, of the trends observed in DNS or experiment. Further experiments and DNS of realistic fuels and at conditions demonstrating chemical complexities must be performed to examine more fully the effects of scalar dissipation and its fluctuations on pre-ignition reaction zones. The statistics of the first appearance of autoignition in transient problems and its connection with the mixing field must also be studied. Ignition from a localised spark has a stochastic character that depends on the mixture fraction sampled at the spark location and duration and the local scalar dissipation. The success or not of the subsequent flame depends on the development of turbulent edge or stratified flames. Only preliminary data exist on the propagation speed of such flames and on their quenching. A lot remains to be done on turbulent edge flame propagation in unreacted and partially-reacted mixtures with inhomogeneities, turbulent flame propagation in non-uniformly dispersed droplet mists, and the transient stabilisation process of recirculating flames. The nature of the flame generation process at very short timescales, i.e. before any appreciable propagation, by sparking in inhomogeneous mixtures needs also to be examined. The development of high repetition rate diagnostics, for single-and two-phase flows, and the development of modelling approaches capturing both premixed and non-premixed reaction zones in gaseous and spray combustion are necessary.","downloadable_attachments":[{"id":43201825,"asset_id":22600548,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":44155588,"first_name":"Epaminondas","last_name":"Mastorakos","domain_name":"cambridge","page_name":"EpaminondasMastorakos","display_name":"Epaminondas Mastorakos","profile_url":"https://cambridge.academia.edu/EpaminondasMastorakos?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering?f_ri=2802","nofollow":true},{"id":1327,"name":"Convection","url":"https://www.academia.edu/Documents/in/Convection?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":6177,"name":"Modeling","url":"https://www.academia.edu/Documents/in/Modeling?f_ri=2802"},{"id":8066,"name":"Two Phase Flow","url":"https://www.academia.edu/Documents/in/Two_Phase_Flow?f_ri=2802"},{"id":57896,"name":"DNS","url":"https://www.academia.edu/Documents/in/DNS?f_ri=2802"},{"id":78316,"name":"Turbulent Combustion","url":"https://www.academia.edu/Documents/in/Turbulent_Combustion?f_ri=2802"},{"id":171114,"name":"Turbulent Flow","url":"https://www.academia.edu/Documents/in/Turbulent_Flow?f_ri=2802"},{"id":176527,"name":"Laminar Flow","url":"https://www.academia.edu/Documents/in/Laminar_Flow?f_ri=2802"},{"id":488404,"name":"Spark","url":"https://www.academia.edu/Documents/in/Spark?f_ri=2802"},{"id":554780,"name":"Interdisciplinary Engineering","url":"https://www.academia.edu/Documents/in/Interdisciplinary_Engineering?f_ri=2802"},{"id":832176,"name":"Diffusion Flame","url":"https://www.academia.edu/Documents/in/Diffusion_Flame?f_ri=2802"},{"id":872399,"name":"Probability Density Function","url":"https://www.academia.edu/Documents/in/Probability_Density_Function?f_ri=2802"},{"id":878397,"name":"Spark Ignition","url":"https://www.academia.edu/Documents/in/Spark_Ignition?f_ri=2802"},{"id":915070,"name":"Autoignition","url":"https://www.academia.edu/Documents/in/Autoignition?f_ri=2802"},{"id":1408988,"name":"Gaseous Fuel","url":"https://www.academia.edu/Documents/in/Gaseous_Fuel?f_ri=2802"},{"id":1671783,"name":"Ignition","url":"https://www.academia.edu/Documents/in/Ignition?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_24424071" data-work_id="24424071" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/24424071/Atmospheric_refractivity_effects_on_mid_infrared_ELT_adaptive_optics">Atmospheric refractivity effects on mid-infrared ELT adaptive optics</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We discuss the effect of atmospheric dispersion on the performance of a mid-infrared adaptive optics assisted instrument on an extremely large telescope (ELT). Dispersion and atmospheric chromaticity is generally considered to be... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_24424071" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We discuss the effect of atmospheric dispersion on the performance of a mid-infrared adaptive optics assisted instrument on an extremely large telescope (ELT). Dispersion and atmospheric chromaticity is generally considered to be negligible in this wavelength regime. It is shown here, however, that with the much-reduced diffraction limit size on an ELT and the need for diffraction-limited performance, refractivity phenomena should be carefully considered in the design and operation of such an instrument. We include an overview of the theory of refractivity, and the influence of infrared resonances caused by the presence of water vapour and other constituents in the atmosphere. 'Traditional' atmospheric dispersion is likely to cause a loss of Strehl only at the shortest wavelengths (L-band). A more likely source of error is the difference in wavelengths at which the wavefront is sensed and corrected, leading to pointing offsets between wavefront sensor and science instrument that evolve with time over a long exposure. Infrared radiation is also subject to additional turbulence caused by the presence of water vapour in the atmosphere not seen by visible wavefront sensors, whose effect is poorly understood. We make use of information obtained at radio wavelengths to make a first-order estimate of its effect on the performance of a mid-IR ground-based instrument. The calculations in this paper are performed using parameters from two different sites, one 'standard good site' and one 'high and dry site' to illustrate the importance of the choice of site for an ELT.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/24424071" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8f6694db44eab604f9f6fada73993bec" rel="nofollow" data-download="{"attachment_id":44754640,"asset_id":24424071,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/44754640/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="47086090" href="https://independent.academia.edu/StefanHippler">Stefan Hippler</a><script data-card-contents-for-user="47086090" type="text/json">{"id":47086090,"first_name":"Stefan","last_name":"Hippler","domain_name":"independent","page_name":"StefanHippler","display_name":"Stefan Hippler","profile_url":"https://independent.academia.edu/StefanHippler?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_24424071 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="24424071"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 24424071, container: ".js-paper-rank-work_24424071", }); 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Dispersion and atmospheric chromaticity is generally considered to be negligible in this wavelength regime. It is shown here, however, that with the much-reduced diffraction limit size on an ELT and the need for diffraction-limited performance, refractivity phenomena should be carefully considered in the design and operation of such an instrument. We include an overview of the theory of refractivity, and the influence of infrared resonances caused by the presence of water vapour and other constituents in the atmosphere. 'Traditional' atmospheric dispersion is likely to cause a loss of Strehl only at the shortest wavelengths (L-band). A more likely source of error is the difference in wavelengths at which the wavefront is sensed and corrected, leading to pointing offsets between wavefront sensor and science instrument that evolve with time over a long exposure. Infrared radiation is also subject to additional turbulence caused by the presence of water vapour in the atmosphere not seen by visible wavefront sensors, whose effect is poorly understood. We make use of information obtained at radio wavelengths to make a first-order estimate of its effect on the performance of a mid-IR ground-based instrument. The calculations in this paper are performed using parameters from two different sites, one 'standard good site' and one 'high and dry site' to illustrate the importance of the choice of site for an ELT.","downloadable_attachments":[{"id":44754640,"asset_id":24424071,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":47086090,"first_name":"Stefan","last_name":"Hippler","domain_name":"independent","page_name":"StefanHippler","display_name":"Stefan Hippler","profile_url":"https://independent.academia.edu/StefanHippler?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2215,"name":"Water","url":"https://www.academia.edu/Documents/in/Water?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":30416,"name":"Adaptive 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fertilisation on biologically driven gas exchange in</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/20048779" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bb3752125b2db4efcb7ae966fc84ce51" rel="nofollow" data-download="{"attachment_id":41250896,"asset_id":20048779,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-20048779">+2</span><div class="hidden js-additional-users-20048779"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/PeterMinnett">Peter Minnett</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://helsinki.academia.edu/JormaKuparinen">Jorma Kuparinen</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-20048779'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-20048779').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_20048779 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="20048779"><i 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class="js-view-count view-count u-mr2x" data-work-id="20048779"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20048779; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20048779]").text(description); $(".js-view-count-work_20048779").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_20048779").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="20048779"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">28</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="407" rel="nofollow" href="https://www.academia.edu/Documents/in/Geochemistry">Geochemistry</a>, <script data-card-contents-for-ri="407" type="text/json">{"id":407,"name":"Geochemistry","url":"https://www.academia.edu/Documents/in/Geochemistry?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="415" rel="nofollow" href="https://www.academia.edu/Documents/in/Oceanography">Oceanography</a>, <script data-card-contents-for-ri="415" type="text/json">{"id":415,"name":"Oceanography","url":"https://www.academia.edu/Documents/in/Oceanography?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2161" rel="nofollow" href="https://www.academia.edu/Documents/in/Microstructure">Microstructure</a>, <script data-card-contents-for-ri="2161" type="text/json">{"id":2161,"name":"Microstructure","url":"https://www.academia.edu/Documents/in/Microstructure?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a><script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=20048779]'), work: {"id":20048779,"title":"The SOLAS air–sea gas exchange experiment (SAGE) 2004","created_at":"2016-01-05T20:11:27.318-08:00","url":"https://www.academia.edu/20048779/The_SOLAS_air_sea_gas_exchange_experiment_SAGE_2004?f_ri=2802","dom_id":"work_20048779","summary":"The SOLAS air-sea gas exchange experiment (SAGE) was a multiple-objective study investigating 2 gas-transfer processes and the influence of iron fertilisation on biologically driven gas exchange in","downloadable_attachments":[{"id":41250896,"asset_id":20048779,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":41002333,"first_name":"Mike","last_name":"Harvey","domain_name":"niwa","page_name":"MikeHarvey","display_name":"Mike Harvey","profile_url":"https://niwa.academia.edu/MikeHarvey?f_ri=2802","photo":"/images/s65_no_pic.png"},{"id":3843826,"first_name":"Peter","last_name":"Minnett","domain_name":"independent","page_name":"PeterMinnett","display_name":"Peter Minnett","profile_url":"https://independent.academia.edu/PeterMinnett?f_ri=2802","photo":"/images/s65_no_pic.png"},{"id":16361072,"first_name":"Jorma","last_name":"Kuparinen","domain_name":"helsinki","page_name":"JormaKuparinen","display_name":"Jorma Kuparinen","profile_url":"https://helsinki.academia.edu/JormaKuparinen?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":407,"name":"Geochemistry","url":"https://www.academia.edu/Documents/in/Geochemistry?f_ri=2802","nofollow":true},{"id":415,"name":"Oceanography","url":"https://www.academia.edu/Documents/in/Oceanography?f_ri=2802","nofollow":true},{"id":2161,"name":"Microstructure","url":"https://www.academia.edu/Documents/in/Microstructure?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology?f_ri=2802"},{"id":15810,"name":"Micrometeorology","url":"https://www.academia.edu/Documents/in/Micrometeorology?f_ri=2802"},{"id":59538,"name":"Southern Ocean","url":"https://www.academia.edu/Documents/in/Southern_Ocean?f_ri=2802"},{"id":76238,"name":"Air","url":"https://www.academia.edu/Documents/in/Air?f_ri=2802"},{"id":107671,"name":"Plankton","url":"https://www.academia.edu/Documents/in/Plankton?f_ri=2802"},{"id":116108,"name":"New Zealand","url":"https://www.academia.edu/Documents/in/New_Zealand?f_ri=2802"},{"id":133177,"name":"Temperature","url":"https://www.academia.edu/Documents/in/Temperature?f_ri=2802"},{"id":158597,"name":"Iron","url":"https://www.academia.edu/Documents/in/Iron?f_ri=2802"},{"id":176632,"name":"Interfaces","url":"https://www.academia.edu/Documents/in/Interfaces?f_ri=2802"},{"id":209515,"name":"Interface","url":"https://www.academia.edu/Documents/in/Interface?f_ri=2802"},{"id":251654,"name":"Greenhouse Gas","url":"https://www.academia.edu/Documents/in/Greenhouse_Gas?f_ri=2802"},{"id":473797,"name":"Microstructures","url":"https://www.academia.edu/Documents/in/Microstructures?f_ri=2802"},{"id":533274,"name":"Growth rate","url":"https://www.academia.edu/Documents/in/Growth_rate?f_ri=2802"},{"id":571677,"name":"Add Plancton","url":"https://www.academia.edu/Documents/in/Add_Plancton?f_ri=2802"},{"id":796144,"name":"Deep Sea","url":"https://www.academia.edu/Documents/in/Deep_Sea?f_ri=2802"},{"id":862243,"name":"Multiple Objectives","url":"https://www.academia.edu/Documents/in/Multiple_Objectives?f_ri=2802"},{"id":1150723,"name":"South West","url":"https://www.academia.edu/Documents/in/South_West?f_ri=2802"},{"id":1292705,"name":"Environmental Parameter","url":"https://www.academia.edu/Documents/in/Environmental_Parameter?f_ri=2802"},{"id":1406858,"name":"Mesoscale","url":"https://www.academia.edu/Documents/in/Mesoscale?f_ri=2802"},{"id":1428753,"name":"Lagrangian","url":"https://www.academia.edu/Documents/in/Lagrangian?f_ri=2802"},{"id":1431418,"name":"Chlorophyll a","url":"https://www.academia.edu/Documents/in/Chlorophyll_a?f_ri=2802"},{"id":1443300,"name":"Winds","url":"https://www.academia.edu/Documents/in/Winds?f_ri=2802"},{"id":1565116,"name":"Mixed layer","url":"https://www.academia.edu/Documents/in/Mixed_layer?f_ri=2802"},{"id":1787781,"name":"Gas Exchange","url":"https://www.academia.edu/Documents/in/Gas_Exchange?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_78777286" data-work_id="78777286" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/78777286/Turbulences_of_speeding_up_data_circulation_Frontex_and_its_crooked_temporalities_of_real_time_border_control">Turbulences of speeding up data circulation. Frontex and its crooked temporalities of ‘real-time’ border control</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In the last decade, various information systems have been created to process data in 'near to real-time' across agencies to 'improve situational awareness and to increase reaction capability' at the external borders of the European Union.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_78777286" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In the last decade, various information systems have been created to process data in 'near to real-time' across agencies to 'improve situational awareness and to increase reaction capability' at the external borders of the European Union. While the policing of mobilities is increasingly discussed in terms of instantaneity, speed, and real-timeness, little has been said about the temporalities of data mobility. This paper focuses on the socio-technical architectures that are generative of data mobilities and analyses the temporality of data circulation as the outcome of a contingent formation of various actors, sites, and materials. Based on an indepth analysis of the Frontex information system Joint Operation Reporting Application (JORA), it works out several sources of turbulence that turn data mobility into a 'crooked' process of patching multiple temporalities and paces together. It will show how the implementation of JORA faces data frictions, issues of data quality, the synchronization of multiple orderings, and the clash of temporalities of border control practices on the ground. Thus, the infrastructuring of data circulation has effects on interorganizational forms of collaboration and knowledge production as well as on border work in the field of European migration and border control.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/78777286" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="25cdabfa01f6d10ae8b88d469e7bdc94" rel="nofollow" data-download="{"attachment_id":85702814,"asset_id":78777286,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/85702814/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8214583" href="https://europa-uni.academia.edu/SilvanPollozek">Silvan Pollozek</a><script data-card-contents-for-user="8214583" type="text/json">{"id":8214583,"first_name":"Silvan","last_name":"Pollozek","domain_name":"europa-uni","page_name":"SilvanPollozek","display_name":"Silvan Pollozek","profile_url":"https://europa-uni.academia.edu/SilvanPollozek?f_ri=2802","photo":"https://0.academia-photos.com/8214583/12671378/51146906/s65_silvan.pollozek.jpg"}</script></span></span></li><li class="js-paper-rank-work_78777286 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="78777286"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 78777286, container: ".js-paper-rank-work_78777286", }); });</script></li><li class="js-percentile-work_78777286 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78777286; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_78777286"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_78777286 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="78777286"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78777286; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78777286]").text(description); $(".js-view-count-work_78777286").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_78777286").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="78777286"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4486" rel="nofollow" href="https://www.academia.edu/Documents/in/Political_Science">Political Science</a>, <script data-card-contents-for-ri="4486" type="text/json">{"id":4486,"name":"Political Science","url":"https://www.academia.edu/Documents/in/Political_Science?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="28235" rel="nofollow" href="https://www.academia.edu/Documents/in/Multidisciplinary">Multidisciplinary</a>, <script data-card-contents-for-ri="28235" type="text/json">{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="79946" rel="nofollow" href="https://www.academia.edu/Documents/in/Mobilities">Mobilities</a><script data-card-contents-for-ri="79946" type="text/json">{"id":79946,"name":"Mobilities","url":"https://www.academia.edu/Documents/in/Mobilities?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=78777286]'), work: {"id":78777286,"title":"Turbulences of speeding up data circulation. Frontex and its crooked temporalities of ‘real-time’ border control","created_at":"2022-05-08T12:56:30.341-07:00","url":"https://www.academia.edu/78777286/Turbulences_of_speeding_up_data_circulation_Frontex_and_its_crooked_temporalities_of_real_time_border_control?f_ri=2802","dom_id":"work_78777286","summary":"In the last decade, various information systems have been created to process data in 'near to real-time' across agencies to 'improve situational awareness and to increase reaction capability' at the external borders of the European Union. While the policing of mobilities is increasingly discussed in terms of instantaneity, speed, and real-timeness, little has been said about the temporalities of data mobility. This paper focuses on the socio-technical architectures that are generative of data mobilities and analyses the temporality of data circulation as the outcome of a contingent formation of various actors, sites, and materials. Based on an indepth analysis of the Frontex information system Joint Operation Reporting Application (JORA), it works out several sources of turbulence that turn data mobility into a 'crooked' process of patching multiple temporalities and paces together. It will show how the implementation of JORA faces data frictions, issues of data quality, the synchronization of multiple orderings, and the clash of temporalities of border control practices on the ground. Thus, the infrastructuring of data circulation has effects on interorganizational forms of collaboration and knowledge production as well as on border work in the field of European migration and border control.","downloadable_attachments":[{"id":85702814,"asset_id":78777286,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8214583,"first_name":"Silvan","last_name":"Pollozek","domain_name":"europa-uni","page_name":"SilvanPollozek","display_name":"Silvan Pollozek","profile_url":"https://europa-uni.academia.edu/SilvanPollozek?f_ri=2802","photo":"https://0.academia-photos.com/8214583/12671378/51146906/s65_silvan.pollozek.jpg"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":4486,"name":"Political Science","url":"https://www.academia.edu/Documents/in/Political_Science?f_ri=2802","nofollow":true},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=2802","nofollow":true},{"id":79946,"name":"Mobilities","url":"https://www.academia.edu/Documents/in/Mobilities?f_ri=2802","nofollow":true},{"id":141836,"name":"Data Architecture","url":"https://www.academia.edu/Documents/in/Data_Architecture?f_ri=2802"},{"id":229390,"name":"Real Time","url":"https://www.academia.edu/Documents/in/Real_Time?f_ri=2802"},{"id":236536,"name":"Data Infrastructure","url":"https://www.academia.edu/Documents/in/Data_Infrastructure?f_ri=2802"},{"id":492772,"name":"Border control","url":"https://www.academia.edu/Documents/in/Border_control?f_ri=2802"},{"id":991404,"name":"Temporalities","url":"https://www.academia.edu/Documents/in/Temporalities?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_27221137" data-work_id="27221137" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/27221137/New_frontiers_in_aerodynamic_tailoring_of_long_span_bridges_an_advanced_analysis_framework">New frontiers in aerodynamic tailoring of long span bridges: an advanced analysis framework</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Significant developments in bridge aeroelastic analysis have been made utilizing realistic aerodynamic force modeling for bridges with bluff sections under turbulent winds. With these developments as a background, this paper highlights... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_27221137" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Significant developments in bridge aeroelastic analysis have been made utilizing realistic aerodynamic force modeling for bridges with bluff sections under turbulent winds. With these developments as a background, this paper highlights state-of-the-art developments in the aeroelastic analysis and identifies new frontiers in aerodynamic tailoring of long span bridges. Challenges in the aeroelastic analysis are pointed out that include: the modeling of aerodynamic forces excited by non-stationary wind fields such as hurricanes and thunderstorms and/or for bridges located in complex topography conditions; consideration of nonlinearities in both structural dynamics and aerodynamics; and the ubiquitous issues related to turbulence. In response to these challenges, an advanced analysis framework is offered that focuses on the needs for modeling of aerodynamic and structural nonlinearities, and the effects of turbulence on long span bridges. r</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/27221137" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="789eaec6a8b09e6cebc8a86ea7e8193a" rel="nofollow" data-download="{"attachment_id":47478255,"asset_id":27221137,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47478255/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32296521" href="https://independent.academia.edu/AhsanKareem1">Ahsan Kareem</a><script data-card-contents-for-user="32296521" type="text/json">{"id":32296521,"first_name":"Ahsan","last_name":"Kareem","domain_name":"independent","page_name":"AhsanKareem1","display_name":"Ahsan Kareem","profile_url":"https://independent.academia.edu/AhsanKareem1?f_ri=2802","photo":"https://0.academia-photos.com/32296521/23222983/22318785/s65_ahsan.kareem.jpg"}</script></span></span></li><li class="js-paper-rank-work_27221137 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="27221137"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 27221137, container: ".js-paper-rank-work_27221137", }); 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With these developments as a background, this paper highlights state-of-the-art developments in the aeroelastic analysis and identifies new frontiers in aerodynamic tailoring of long span bridges. Challenges in the aeroelastic analysis are pointed out that include: the modeling of aerodynamic forces excited by non-stationary wind fields such as hurricanes and thunderstorms and/or for bridges located in complex topography conditions; consideration of nonlinearities in both structural dynamics and aerodynamics; and the ubiquitous issues related to turbulence. In response to these challenges, an advanced analysis framework is offered that focuses on the needs for modeling of aerodynamic and structural nonlinearities, and the effects of turbulence on long span bridges. r","downloadable_attachments":[{"id":47478255,"asset_id":27221137,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32296521,"first_name":"Ahsan","last_name":"Kareem","domain_name":"independent","page_name":"AhsanKareem1","display_name":"Ahsan Kareem","profile_url":"https://independent.academia.edu/AhsanKareem1?f_ri=2802","photo":"https://0.academia-photos.com/32296521/23222983/22318785/s65_ahsan.kareem.jpg"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":4070,"name":"Structural Dynamics","url":"https://www.academia.edu/Documents/in/Structural_Dynamics?f_ri=2802","nofollow":true},{"id":596797,"name":"Wind loads","url":"https://www.academia.edu/Documents/in/Wind_loads?f_ri=2802"},{"id":833543,"name":"Wind Load","url":"https://www.academia.edu/Documents/in/Wind_Load?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_56734941" data-work_id="56734941" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/56734941/Comparison_of_turbulence_models_for_stage_discharge_rating_curve_prediction_in_reach_scale_compound_channel_flows_using_two_dimensional_finite_element_methods">Comparison of turbulence models for stage-discharge rating curve prediction in reach-scale compound channel flows using two-dimensional finite element methods</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper attempts to assess the accuracy of constant eddy viscosity, Elder and k±e turbulence models in the numerical simulation of reach-scale compound channel¯ows using two-dimensional (2D) ®nite element methods. Assessment was... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_56734941" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper attempts to assess the accuracy of constant eddy viscosity, Elder and k±e turbulence models in the numerical simulation of reach-scale compound channel¯ows using two-dimensional (2D) ®nite element methods. Assessment was conducted using benchmark stage-discharge data collected from straight and meandering compound channel con®gurations at the UK Engineering and Physical Science Research Council (EPSRC) Flood Channel Facility. For mesh resolutions and topologies used in reach-scale studies, all models were found to be adequate predictors (,5% error in predicted¯ow depth) of the stage-discharge relationship at moderate overbank¯ows (Figs. 1 and 2). However, at inbank and low overbank¯ows the Elder and k±e turbulence models can reproduce stage-discharge points with much greater accuracy than the constant eddy viscosity model. Hence, for an unsteady simulation where low¯ows are relevant a constant eddy viscosity turbulence closure may prove problematic. In terms of computed lateral distributions of depth-averaged velocity for both channel con®gurations, at higher depths (Relative depth 0.666) all turbulence models predict the velocity with greater accuracy than at a lower depth (Relative depth 0.333). At this latter depth, all turbulence models predict the depth-averaged longitudinal velocity distribution with poor accuracy (.20% error). Also, sensitivity of the turbulence parameter calibration with respect to the predicted ow depth showed that the constant eddy viscosity model's performance can be highly dependent on the choice of turbulence parameter value.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/56734941" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b2086fabb785b7b9fff48abe76ef5201" rel="nofollow" data-download="{"attachment_id":71974343,"asset_id":56734941,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/71974343/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="24231745" href="https://independent.academia.edu/JeanMichelHERVOUET">Jean-Michel HERVOUET</a><script data-card-contents-for-user="24231745" type="text/json">{"id":24231745,"first_name":"Jean-Michel","last_name":"HERVOUET","domain_name":"independent","page_name":"JeanMichelHERVOUET","display_name":"Jean-Michel HERVOUET","profile_url":"https://independent.academia.edu/JeanMichelHERVOUET?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_56734941 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="56734941"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 56734941, container: ".js-paper-rank-work_56734941", }); 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Assessment was conducted using benchmark stage-discharge data collected from straight and meandering compound channel con®gurations at the UK Engineering and Physical Science Research Council (EPSRC) Flood Channel Facility. For mesh resolutions and topologies used in reach-scale studies, all models were found to be adequate predictors (,5% error in predicted¯ow depth) of the stage-discharge relationship at moderate overbank¯ows (Figs. 1 and 2). However, at inbank and low overbank¯ows the Elder and k±e turbulence models can reproduce stage-discharge points with much greater accuracy than the constant eddy viscosity model. Hence, for an unsteady simulation where low¯ows are relevant a constant eddy viscosity turbulence closure may prove problematic. In terms of computed lateral distributions of depth-averaged velocity for both channel con®gurations, at higher depths (Relative depth 0.666) all turbulence models predict the velocity with greater accuracy than at a lower depth (Relative depth 0.333). At this latter depth, all turbulence models predict the depth-averaged longitudinal velocity distribution with poor accuracy (.20% error). Also, sensitivity of the turbulence parameter calibration with respect to the predicted ow depth showed that the constant eddy viscosity model's performance can be highly dependent on the choice of turbulence parameter value.","downloadable_attachments":[{"id":71974343,"asset_id":56734941,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":24231745,"first_name":"Jean-Michel","last_name":"HERVOUET","domain_name":"independent","page_name":"JeanMichelHERVOUET","display_name":"Jean-Michel HERVOUET","profile_url":"https://independent.academia.edu/JeanMichelHERVOUET?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2549,"name":"Hydrology","url":"https://www.academia.edu/Documents/in/Hydrology?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":7968,"name":"Prediction","url":"https://www.academia.edu/Documents/in/Prediction?f_ri=2802","nofollow":true},{"id":12147,"name":"Finite element method","url":"https://www.academia.edu/Documents/in/Finite_element_method?f_ri=2802","nofollow":true},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=2802"},{"id":49273,"name":"Finite Element Analysis","url":"https://www.academia.edu/Documents/in/Finite_Element_Analysis?f_ri=2802"},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802"},{"id":76653,"name":"Discharge","url":"https://www.academia.edu/Documents/in/Discharge?f_ri=2802"},{"id":96893,"name":"Calibration","url":"https://www.academia.edu/Documents/in/Calibration?f_ri=2802"},{"id":109384,"name":"Viscosity","url":"https://www.academia.edu/Documents/in/Viscosity?f_ri=2802"},{"id":153168,"name":"Data Collection","url":"https://www.academia.edu/Documents/in/Data_Collection?f_ri=2802"},{"id":179332,"name":"Hydrodynamics","url":"https://www.academia.edu/Documents/in/Hydrodynamics?f_ri=2802"},{"id":347230,"name":"Flood routing","url":"https://www.academia.edu/Documents/in/Flood_routing?f_ri=2802"},{"id":497452,"name":"Numerical Model","url":"https://www.academia.edu/Documents/in/Numerical_Model?f_ri=2802"},{"id":837211,"name":"Turbulence Model","url":"https://www.academia.edu/Documents/in/Turbulence_Model?f_ri=2802"},{"id":862322,"name":"Channel Flow","url":"https://www.academia.edu/Documents/in/Channel_Flow?f_ri=2802"},{"id":2946284,"name":"Meanders","url":"https://www.academia.edu/Documents/in/Meanders?f_ri=2802"},{"id":3364406,"name":"Velocity Distribution","url":"https://www.academia.edu/Documents/in/Velocity_Distribution?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_29140222" data-work_id="29140222" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/29140222/Building_Multirail_InfiniBand_Clusters_MPI_Level_Designs_and_Performance_Evaluation">Building Multirail InfiniBand Clusters: MPI-Level Designs and Performance Evaluation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In the area of cluster computing, InfiniBand is becoming increasingly popular due to its open standard and high performance. However, even with InfiniBand, network bandwidth can still become the performance bottleneck for some of today's... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_29140222" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In the area of cluster computing, InfiniBand is becoming increasingly popular due to its open standard and high performance. However, even with InfiniBand, network bandwidth can still become the performance bottleneck for some of today's most demanding applications.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/29140222" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9347b62ae0c977006894d587ca3d0e32" rel="nofollow" data-download="{"attachment_id":49587800,"asset_id":29140222,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49587800/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="54866065" href="https://pnnl.academia.edu/AbhinavVishnu">Abhinav Vishnu</a><script data-card-contents-for-user="54866065" type="text/json">{"id":54866065,"first_name":"Abhinav","last_name":"Vishnu","domain_name":"pnnl","page_name":"AbhinavVishnu","display_name":"Abhinav Vishnu","profile_url":"https://pnnl.academia.edu/AbhinavVishnu?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_29140222 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="29140222"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 29140222, container: ".js-paper-rank-work_29140222", }); 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However, even with InfiniBand, network bandwidth can still become the performance bottleneck for some of today's most demanding applications.","downloadable_attachments":[{"id":49587800,"asset_id":29140222,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":54866065,"first_name":"Abhinav","last_name":"Vishnu","domain_name":"pnnl","page_name":"AbhinavVishnu","display_name":"Abhinav Vishnu","profile_url":"https://pnnl.academia.edu/AbhinavVishnu?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":6002,"name":"Theory","url":"https://www.academia.edu/Documents/in/Theory?f_ri=2802","nofollow":true},{"id":9043,"name":"Performance","url":"https://www.academia.edu/Documents/in/Performance?f_ri=2802","nofollow":true},{"id":9212,"name":"A Priori Knowledge","url":"https://www.academia.edu/Documents/in/A_Priori_Knowledge?f_ri=2802","nofollow":true},{"id":34740,"name":"Cluster Computing","url":"https://www.academia.edu/Documents/in/Cluster_Computing?f_ri=2802"},{"id":55641,"name":"Performance Evaluation","url":"https://www.academia.edu/Documents/in/Performance_Evaluation?f_ri=2802"},{"id":82999,"name":"Protocols","url":"https://www.academia.edu/Documents/in/Protocols?f_ri=2802"},{"id":297691,"name":"High performance","url":"https://www.academia.edu/Documents/in/High_performance?f_ri=2802"},{"id":394477,"name":"Time Dependent","url":"https://www.academia.edu/Documents/in/Time_Dependent?f_ri=2802"},{"id":890655,"name":"Eulerian","url":"https://www.academia.edu/Documents/in/Eulerian?f_ri=2802"},{"id":936410,"name":"Bandwidth","url":"https://www.academia.edu/Documents/in/Bandwidth?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9675019" data-work_id="9675019" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9675019/Modeling_of_a_Rough_Wall_Oscillatory_Boundary_Layer_Using_Two_Equation_Turbulence_Models">Modeling of a Rough-Wall Oscillatory Boundary Layer Using Two-Equation Turbulence Models</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The standard k − turbulence model and two versions of blended k − / k − models have been used to study the characteristics of a one-dimensional oscillatory boundary layer on a rough surface. The wall boundary condition for the specific... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9675019" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The standard k − turbulence model and two versions of blended k − / k − models have been used to study the characteristics of a one-dimensional oscillatory boundary layer on a rough surface. The wall boundary condition for the specific dissipation rate of turbulent kinetic energy at the wall is specified in terms of a function based on wall roughness. A detailed comparison has been made for mean velocity, turbulent kinetic energy, Reynolds stress, and wall shear stress with the available experimental data. The three models predict the above properties reasonably well. In particular, the prediction of turbulent kinetic energy for the rough case by the blended models is much better than that for smooth oscillatory boundary layers as reported in previous studies. As a result of the present study, the use of one of the blended models in calculating the sediment transport in coastal environments may be recommended.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9675019" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="71d552664820e4dceea8fb1bdc228c31" rel="nofollow" data-download="{"attachment_id":47685788,"asset_id":9675019,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47685788/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="23131539" href="https://squ.academia.edu/ASana">Ahmad Sana</a><script data-card-contents-for-user="23131539" type="text/json">{"id":23131539,"first_name":"Ahmad","last_name":"Sana","domain_name":"squ","page_name":"ASana","display_name":"Ahmad Sana","profile_url":"https://squ.academia.edu/ASana?f_ri=2802","photo":"https://0.academia-photos.com/23131539/10987488/12262023/s65_ahmad.sana.jpg"}</script></span></span></li><li class="js-paper-rank-work_9675019 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9675019"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9675019, container: ".js-paper-rank-work_9675019", }); 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$(".js-view-count[data-work-id=9675019]").text(description); $(".js-view-count-work_9675019").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_9675019").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="9675019"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="73" rel="nofollow" href="https://www.academia.edu/Documents/in/Civil_Engineering">Civil Engineering</a>, <script data-card-contents-for-ri="73" type="text/json">{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2550" rel="nofollow" href="https://www.academia.edu/Documents/in/Hydraulics">Hydraulics</a>, <script data-card-contents-for-ri="2550" type="text/json">{"id":2550,"name":"Hydraulics","url":"https://www.academia.edu/Documents/in/Hydraulics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="6177" rel="nofollow" href="https://www.academia.edu/Documents/in/Modeling">Modeling</a><script data-card-contents-for-ri="6177" type="text/json">{"id":6177,"name":"Modeling","url":"https://www.academia.edu/Documents/in/Modeling?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9675019]'), work: {"id":9675019,"title":"Modeling of a Rough-Wall Oscillatory Boundary Layer Using Two-Equation Turbulence Models","created_at":"2014-12-08T07:23:12.184-08:00","url":"https://www.academia.edu/9675019/Modeling_of_a_Rough_Wall_Oscillatory_Boundary_Layer_Using_Two_Equation_Turbulence_Models?f_ri=2802","dom_id":"work_9675019","summary":"The standard k − turbulence model and two versions of blended k − / k − models have been used to study the characteristics of a one-dimensional oscillatory boundary layer on a rough surface. The wall boundary condition for the specific dissipation rate of turbulent kinetic energy at the wall is specified in terms of a function based on wall roughness. A detailed comparison has been made for mean velocity, turbulent kinetic energy, Reynolds stress, and wall shear stress with the available experimental data. The three models predict the above properties reasonably well. In particular, the prediction of turbulent kinetic energy for the rough case by the blended models is much better than that for smooth oscillatory boundary layers as reported in previous studies. As a result of the present study, the use of one of the blended models in calculating the sediment transport in coastal environments may be recommended.","downloadable_attachments":[{"id":47685788,"asset_id":9675019,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":23131539,"first_name":"Ahmad","last_name":"Sana","domain_name":"squ","page_name":"ASana","display_name":"Ahmad Sana","profile_url":"https://squ.academia.edu/ASana?f_ri=2802","photo":"https://0.academia-photos.com/23131539/10987488/12262023/s65_ahmad.sana.jpg"}],"research_interests":[{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering?f_ri=2802","nofollow":true},{"id":2550,"name":"Hydraulics","url":"https://www.academia.edu/Documents/in/Hydraulics?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":6177,"name":"Modeling","url":"https://www.academia.edu/Documents/in/Modeling?f_ri=2802","nofollow":true},{"id":9695,"name":"Boundary Layers","url":"https://www.academia.edu/Documents/in/Boundary_Layers?f_ri=2802"},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802"},{"id":113500,"name":"Hydraulic Engineering","url":"https://www.academia.edu/Documents/in/Hydraulic_Engineering?f_ri=2802"},{"id":175859,"name":"Shear Stress","url":"https://www.academia.edu/Documents/in/Shear_Stress?f_ri=2802"},{"id":337500,"name":"Velocity","url":"https://www.academia.edu/Documents/in/Velocity?f_ri=2802"},{"id":477461,"name":"Coastal Zone","url":"https://www.academia.edu/Documents/in/Coastal_Zone?f_ri=2802"},{"id":685326,"name":"Boundary Layer","url":"https://www.academia.edu/Documents/in/Boundary_Layer?f_ri=2802"},{"id":837211,"name":"Turbulence Model","url":"https://www.academia.edu/Documents/in/Turbulence_Model?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1151335" data-work_id="1151335" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1151335/New_Approaches_in_Modeling_Multiphase_Flows_and_Dispersion_in_Turbulence_Fractal_Methods_and_Synthetic_Turbulence">New Approaches in Modeling Multiphase Flows and Dispersion in Turbulence, Fractal Methods and Synthetic Turbulence</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This book contains a collection of the main contributions from the first five workshops held by Ercoftac Special Interest Group on Synthetic Turbulence Models (SIG42. It is intended as an illustration of the sig’s activities and of the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1151335" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This book contains a collection of the main contributions from the first five workshops held by Ercoftac Special Interest Group on Synthetic Turbulence Models (SIG42. It is intended as an illustration of the sig’s activities and of the latest developments in the field.<br /><br />This volume investigates the use of Kinematic Simulation (KS) and other synthetic turbulence models for the particular application to environmental flows.<br />This volume offers the best syntheses on the research status in KS, which is widely used in various domains, including Lagrangian aspects in turbulence mixing/stirring, particle dispersion/clustering, and last but not least, aeroacoustics. Flow realizations with complete spatial, and sometime spatio-temporal, dependency, are generated via superposition of random modes (mostly spatial, and sometime spatial and temporal, Fourier modes), with prescribed constraints such as: strict incompressibility (divergence-free velocity field at each point), high Reynolds energy spectrum. Recent improvements consisted in incorporating linear dynamics, for instance in rotating and/or stably-stratified flows, with possible easy generalization to MHD flows, and perhaps to plasmas. KS for channel flows have also been validated. However, the absence of "sweeping effects" in present conventional KS versions is identified as a major drawback in very different applications: inertial particle clustering as well as in aeroacoustics. Nevertheless, this issue was addressed in some reference papers, and merits to be revisited in the light of new studies in progress.<br /><br />Content Level » Research<br /><br />Keywords » atmospheric flows - fractal fluids - isotropic turbulence - lagrangian dispersion - multiphase flows - super fluids - synthetic turbulence models</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1151335" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="825c8a57bd1911980401e7526be1df13" rel="nofollow" data-download="{"attachment_id":7069661,"asset_id":1151335,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/7069661/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="277987" href="https://upc.academia.edu/JoseMRedondo">Jose M. Redondo</a><script data-card-contents-for-user="277987" type="text/json">{"id":277987,"first_name":"Jose M.","last_name":"Redondo","domain_name":"upc","page_name":"JoseMRedondo","display_name":"Jose M. Redondo","profile_url":"https://upc.academia.edu/JoseMRedondo?f_ri=2802","photo":"https://0.academia-photos.com/277987/68203/74940/s65_jose_m..redondo.jpg"}</script></span></span></li><li class="js-paper-rank-work_1151335 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1151335"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1151335, container: ".js-paper-rank-work_1151335", }); });</script></li><li class="js-percentile-work_1151335 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1151335; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1151335"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1151335 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1151335"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1151335; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1151335]").text(description); $(".js-view-count-work_1151335").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1151335").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1151335"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3984" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence_Modelling">Turbulence Modelling</a>, <script data-card-contents-for-ri="3984" type="text/json">{"id":3984,"name":"Turbulence Modelling","url":"https://www.academia.edu/Documents/in/Turbulence_Modelling?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="6263" rel="nofollow" href="https://www.academia.edu/Documents/in/Combustion">Combustion</a>, <script data-card-contents-for-ri="6263" type="text/json">{"id":6263,"name":"Combustion","url":"https://www.academia.edu/Documents/in/Combustion?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="8067" rel="nofollow" href="https://www.academia.edu/Documents/in/Heat_Transfer">Heat Transfer</a><script data-card-contents-for-ri="8067" type="text/json">{"id":8067,"name":"Heat Transfer","url":"https://www.academia.edu/Documents/in/Heat_Transfer?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1151335]'), work: {"id":1151335,"title":"New Approaches in Modeling Multiphase Flows and Dispersion in Turbulence, Fractal Methods and Synthetic Turbulence","created_at":"2011-12-12T00:01:58.632-08:00","url":"https://www.academia.edu/1151335/New_Approaches_in_Modeling_Multiphase_Flows_and_Dispersion_in_Turbulence_Fractal_Methods_and_Synthetic_Turbulence?f_ri=2802","dom_id":"work_1151335","summary":"This book contains a collection of the main contributions from the first five workshops held by Ercoftac Special Interest Group on Synthetic Turbulence Models (SIG42. It is intended as an illustration of the sig’s activities and of the latest developments in the field.\n\nThis volume investigates the use of Kinematic Simulation (KS) and other synthetic turbulence models for the particular application to environmental flows.\nThis volume offers the best syntheses on the research status in KS, which is widely used in various domains, including Lagrangian aspects in turbulence mixing/stirring, particle dispersion/clustering, and last but not least, aeroacoustics. Flow realizations with complete spatial, and sometime spatio-temporal, dependency, are generated via superposition of random modes (mostly spatial, and sometime spatial and temporal, Fourier modes), with prescribed constraints such as: strict incompressibility (divergence-free velocity field at each point), high Reynolds energy spectrum. Recent improvements consisted in incorporating linear dynamics, for instance in rotating and/or stably-stratified flows, with possible easy generalization to MHD flows, and perhaps to plasmas. KS for channel flows have also been validated. However, the absence of \"sweeping effects\" in present conventional KS versions is identified as a major drawback in very different applications: inertial particle clustering as well as in aeroacoustics. Nevertheless, this issue was addressed in some reference papers, and merits to be revisited in the light of new studies in progress.\n\nContent Level » Research\n\nKeywords » atmospheric flows - fractal fluids - isotropic turbulence - lagrangian dispersion - multiphase flows - super fluids - synthetic turbulence models ","downloadable_attachments":[{"id":7069661,"asset_id":1151335,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":277987,"first_name":"Jose M.","last_name":"Redondo","domain_name":"upc","page_name":"JoseMRedondo","display_name":"Jose M. Redondo","profile_url":"https://upc.academia.edu/JoseMRedondo?f_ri=2802","photo":"https://0.academia-photos.com/277987/68203/74940/s65_jose_m..redondo.jpg"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":3984,"name":"Turbulence Modelling","url":"https://www.academia.edu/Documents/in/Turbulence_Modelling?f_ri=2802","nofollow":true},{"id":6263,"name":"Combustion","url":"https://www.academia.edu/Documents/in/Combustion?f_ri=2802","nofollow":true},{"id":8067,"name":"Heat Transfer","url":"https://www.academia.edu/Documents/in/Heat_Transfer?f_ri=2802","nofollow":true},{"id":10717,"name":"Large Eddy Simulation","url":"https://www.academia.edu/Documents/in/Large_Eddy_Simulation?f_ri=2802"},{"id":10719,"name":"Direct Numerical Simulation","url":"https://www.academia.edu/Documents/in/Direct_Numerical_Simulation?f_ri=2802"},{"id":16496,"name":"Fluid Dynamics","url":"https://www.academia.edu/Documents/in/Fluid_Dynamics?f_ri=2802"},{"id":17092,"name":"Turbulent Flows","url":"https://www.academia.edu/Documents/in/Turbulent_Flows?f_ri=2802"},{"id":57084,"name":"Multiphase flows","url":"https://www.academia.edu/Documents/in/Multiphase_flows?f_ri=2802"},{"id":57085,"name":"Transport Phenomena in Porous Media","url":"https://www.academia.edu/Documents/in/Transport_Phenomena_in_Porous_Media?f_ri=2802"},{"id":57086,"name":"Turbulence modeling","url":"https://www.academia.edu/Documents/in/Turbulence_modeling?f_ri=2802"},{"id":1223725,"name":"Numerical and Experimental Methods in Fluid Dynamics","url":"https://www.academia.edu/Documents/in/Numerical_and_Experimental_Methods_in_Fluid_Dynamics?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5862588" data-work_id="5862588" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5862588/Effect_of_Reynolds_Number_on_Separation_Bubbles_on_Compressor_Blades_in_Cascade">Effect of Reynolds Number on Separation Bubbles on Compressor Blades in Cascade</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A detailed experimental investigation of secondgeneration, controlled-diffusion, compressor stator blades at an off-design inlet-flow angle was performed in a low-speed cascade wind tunnel primarily using laser-Doppler velocimetry (LDV).... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5862588" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A detailed experimental investigation of secondgeneration, controlled-diffusion, compressor stator blades at an off-design inlet-flow angle was performed in a low-speed cascade wind tunnel primarily using laser-Doppler velocimetry (LDV). The object of the study was to characterize the off-design flowfield and to obtain LDV measurements of the suction surface boundary layer separation which occurred near mid chord. The effect of Reynolds number on the flow separation in the regime of 210,000 to 640,000 was investigated. Surface flow visualization showed that at the low Re. no. the midchord separation bubble started laminar and reattached turbulent within 20% chord on the suction side of the blade. The extent of the bubble compared very well with the measured blade surface pressure distribution which showed a classical plateau and then diffusion in the turbulent region. LDV measurements of the flow reversal in the bubble were performed. At the intermediate Re.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5862588" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="dbac0218926aab5341b2025320a724d8" rel="nofollow" data-download="{"attachment_id":49106831,"asset_id":5862588,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49106831/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8646822" href="https://nps.academia.edu/GarthHobson">Garth Hobson</a><script data-card-contents-for-user="8646822" type="text/json">{"id":8646822,"first_name":"Garth","last_name":"Hobson","domain_name":"nps","page_name":"GarthHobson","display_name":"Garth Hobson","profile_url":"https://nps.academia.edu/GarthHobson?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5862588 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5862588"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5862588, container: ".js-paper-rank-work_5862588", }); });</script></li><li class="js-percentile-work_5862588 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5862588; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5862588"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5862588 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5862588"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5862588; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5862588]").text(description); $(".js-view-count-work_5862588").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5862588").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5862588"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="60" rel="nofollow" href="https://www.academia.edu/Documents/in/Mechanical_Engineering">Mechanical Engineering</a>, <script data-card-contents-for-ri="60" type="text/json">{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="159371" rel="nofollow" href="https://www.academia.edu/Documents/in/Flow_Visualization">Flow Visualization</a><script data-card-contents-for-ri="159371" type="text/json">{"id":159371,"name":"Flow Visualization","url":"https://www.academia.edu/Documents/in/Flow_Visualization?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5862588]'), work: {"id":5862588,"title":"Effect of Reynolds Number on Separation Bubbles on Compressor Blades in Cascade","created_at":"2014-01-27T16:54:32.139-08:00","url":"https://www.academia.edu/5862588/Effect_of_Reynolds_Number_on_Separation_Bubbles_on_Compressor_Blades_in_Cascade?f_ri=2802","dom_id":"work_5862588","summary":"A detailed experimental investigation of secondgeneration, controlled-diffusion, compressor stator blades at an off-design inlet-flow angle was performed in a low-speed cascade wind tunnel primarily using laser-Doppler velocimetry (LDV). The object of the study was to characterize the off-design flowfield and to obtain LDV measurements of the suction surface boundary layer separation which occurred near mid chord. The effect of Reynolds number on the flow separation in the regime of 210,000 to 640,000 was investigated. Surface flow visualization showed that at the low Re. no. the midchord separation bubble started laminar and reattached turbulent within 20% chord on the suction side of the blade. The extent of the bubble compared very well with the measured blade surface pressure distribution which showed a classical plateau and then diffusion in the turbulent region. LDV measurements of the flow reversal in the bubble were performed. At the intermediate Re.","downloadable_attachments":[{"id":49106831,"asset_id":5862588,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8646822,"first_name":"Garth","last_name":"Hobson","domain_name":"nps","page_name":"GarthHobson","display_name":"Garth Hobson","profile_url":"https://nps.academia.edu/GarthHobson?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":159371,"name":"Flow Visualization","url":"https://www.academia.edu/Documents/in/Flow_Visualization?f_ri=2802","nofollow":true},{"id":166603,"name":"Compressors","url":"https://www.academia.edu/Documents/in/Compressors?f_ri=2802"},{"id":488301,"name":"Flow Separation","url":"https://www.academia.edu/Documents/in/Flow_Separation?f_ri=2802"},{"id":685326,"name":"Boundary Layer","url":"https://www.academia.edu/Documents/in/Boundary_Layer?f_ri=2802"},{"id":862505,"name":"Suction","url":"https://www.academia.edu/Documents/in/Suction?f_ri=2802"},{"id":937876,"name":"Wind Tunnels","url":"https://www.academia.edu/Documents/in/Wind_Tunnels?f_ri=2802"},{"id":1008960,"name":"Reynolds Number","url":"https://www.academia.edu/Documents/in/Reynolds_Number?f_ri=2802"},{"id":1144265,"name":"Pressure Distribution","url":"https://www.academia.edu/Documents/in/Pressure_Distribution?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_14824779" data-work_id="14824779" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/14824779/Detached_eddy_simulation_of_turbulent_flow_and_heat_transfer_in_a_two_pass_internal_cooling_duct">Detached eddy simulation of turbulent flow and heat transfer in a two-pass internal cooling duct</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Detached Eddy Simulations (DES) is a hybrid URANS-LES technique that was proposed to obtain computationally feasible solutions of high Reynolds number flows undergoing massive separation with reliable accuracy. Since its inception, DES... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_14824779" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Detached Eddy Simulations (DES) is a hybrid URANS-LES technique that was proposed to obtain computationally feasible solutions of high Reynolds number flows undergoing massive separation with reliable accuracy. Since its inception, DES has been applied to a wide variety of flow fields, but mostly limited to unbounded external aerodynamic flows. This is the first study to apply and validate DES to predict the internal flow and heat transfer in non-canonical flows of industrial relevance. The prediction capabilities of DES in capturing the effects of Coriolis forces, which are induced by rotation, and centrifugal buoyancy forces, which are induced by thermal gradients, are also authenticated.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/14824779" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ef6c4a964a4b3dbb9421b550e7d3366c" rel="nofollow" data-download="{"attachment_id":43872807,"asset_id":14824779,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43872807/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33785156" href="https://vt.academia.edu/DaneshTafti">Danesh Tafti</a><script data-card-contents-for-user="33785156" type="text/json">{"id":33785156,"first_name":"Danesh","last_name":"Tafti","domain_name":"vt","page_name":"DaneshTafti","display_name":"Danesh Tafti","profile_url":"https://vt.academia.edu/DaneshTafti?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_14824779 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14824779"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14824779, container: ".js-paper-rank-work_14824779", }); 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$(".js-view-count[data-work-id=14824779]").text(description); $(".js-view-count-work_14824779").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_14824779").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="14824779"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">15</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="60" rel="nofollow" href="https://www.academia.edu/Documents/in/Mechanical_Engineering">Mechanical Engineering</a>, <script data-card-contents-for-ri="60" type="text/json">{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2189" rel="nofollow" href="https://www.academia.edu/Documents/in/Computational_Complexity">Computational Complexity</a><script data-card-contents-for-ri="2189" type="text/json">{"id":2189,"name":"Computational Complexity","url":"https://www.academia.edu/Documents/in/Computational_Complexity?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14824779]'), work: {"id":14824779,"title":"Detached eddy simulation of turbulent flow and heat transfer in a two-pass internal cooling duct","created_at":"2015-08-10T08:52:55.157-07:00","url":"https://www.academia.edu/14824779/Detached_eddy_simulation_of_turbulent_flow_and_heat_transfer_in_a_two_pass_internal_cooling_duct?f_ri=2802","dom_id":"work_14824779","summary":"Detached Eddy Simulations (DES) is a hybrid URANS-LES technique that was proposed to obtain computationally feasible solutions of high Reynolds number flows undergoing massive separation with reliable accuracy. Since its inception, DES has been applied to a wide variety of flow fields, but mostly limited to unbounded external aerodynamic flows. This is the first study to apply and validate DES to predict the internal flow and heat transfer in non-canonical flows of industrial relevance. The prediction capabilities of DES in capturing the effects of Coriolis forces, which are induced by rotation, and centrifugal buoyancy forces, which are induced by thermal gradients, are also authenticated.","downloadable_attachments":[{"id":43872807,"asset_id":14824779,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33785156,"first_name":"Danesh","last_name":"Tafti","domain_name":"vt","page_name":"DaneshTafti","display_name":"Danesh Tafti","profile_url":"https://vt.academia.edu/DaneshTafti?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true},{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=2802","nofollow":true},{"id":2189,"name":"Computational Complexity","url":"https://www.academia.edu/Documents/in/Computational_Complexity?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802"},{"id":8067,"name":"Heat Transfer","url":"https://www.academia.edu/Documents/in/Heat_Transfer?f_ri=2802"},{"id":48636,"name":"Simulation","url":"https://www.academia.edu/Documents/in/Simulation?f_ri=2802"},{"id":59487,"name":"Computation","url":"https://www.academia.edu/Documents/in/Computation?f_ri=2802"},{"id":171114,"name":"Turbulent Flow","url":"https://www.academia.edu/Documents/in/Turbulent_Flow?f_ri=2802"},{"id":507725,"name":"Secondary flow","url":"https://www.academia.edu/Documents/in/Secondary_flow?f_ri=2802"},{"id":554780,"name":"Interdisciplinary Engineering","url":"https://www.academia.edu/Documents/in/Interdisciplinary_Engineering?f_ri=2802"},{"id":898534,"name":"Detached Eddy Simulation","url":"https://www.academia.edu/Documents/in/Detached_Eddy_Simulation?f_ri=2802"},{"id":981786,"name":"Large Eddy Simulation(LES)","url":"https://www.academia.edu/Documents/in/Large_Eddy_Simulation_LES_-1?f_ri=2802"},{"id":1002805,"name":"Ducts","url":"https://www.academia.edu/Documents/in/Ducts?f_ri=2802"},{"id":1008960,"name":"Reynolds Number","url":"https://www.academia.edu/Documents/in/Reynolds_Number?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_363473" data-work_id="363473" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/363473/Maximum_Propulsive_Swimming_Wakes">Maximum Propulsive Swimming Wakes</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">hands, arms and feet to the water and the aim in sport is to maximize effective propulsion minimizing energy. In previous studies we recorded propulsive force during tethered swimming and used bubbles to trace the water flow (Arellano et... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_363473" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">hands, arms and feet to the water and the aim in sport is to maximize effective propulsion minimizing energy. In previous studies we recorded propulsive force during tethered swimming and used bubbles to trace the water flow (Arellano et al, 2002, 2006)[1,2]. Vorticity in wakes was seen to be dominant in the best swimmers, whose circulation produced by both hands and feet (eddies or vortex structures) were more regular. When non-steady motions occur Zhukovsky’s condition is not met and unbound vortices are shed at the tips of the hands and feet in a turbulent 3D fashion forming a complex wake</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/363473" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="81a3c278472a9d286c2892591856f811" rel="nofollow" data-download="{"attachment_id":1797951,"asset_id":363473,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/1797951/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="277987" href="https://upc.academia.edu/JoseMRedondo">Jose M. Redondo</a><script data-card-contents-for-user="277987" type="text/json">{"id":277987,"first_name":"Jose M.","last_name":"Redondo","domain_name":"upc","page_name":"JoseMRedondo","display_name":"Jose M. Redondo","profile_url":"https://upc.academia.edu/JoseMRedondo?f_ri=2802","photo":"https://0.academia-photos.com/277987/68203/74940/s65_jose_m..redondo.jpg"}</script></span></span></li><li class="js-paper-rank-work_363473 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="363473"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 363473, container: ".js-paper-rank-work_363473", }); });</script></li><li class="js-percentile-work_363473 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 363473; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_363473"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_363473 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="363473"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 363473; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=363473]").text(description); $(".js-view-count-work_363473").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_363473").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="363473"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="24557" rel="nofollow" href="https://www.academia.edu/Documents/in/Propulsion">Propulsion</a>, <script data-card-contents-for-ri="24557" type="text/json">{"id":24557,"name":"Propulsion","url":"https://www.academia.edu/Documents/in/Propulsion?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="28582" rel="nofollow" href="https://www.academia.edu/Documents/in/Swimming">Swimming</a>, <script data-card-contents-for-ri="28582" type="text/json">{"id":28582,"name":"Swimming","url":"https://www.academia.edu/Documents/in/Swimming?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="71081" rel="nofollow" href="https://www.academia.edu/Documents/in/Bluff_body_wakes">Bluff body wakes</a><script data-card-contents-for-ri="71081" type="text/json">{"id":71081,"name":"Bluff body wakes","url":"https://www.academia.edu/Documents/in/Bluff_body_wakes?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=363473]'), work: {"id":363473,"title":"Maximum Propulsive Swimming Wakes","created_at":"2010-11-07T21:38:27.810-08:00","url":"https://www.academia.edu/363473/Maximum_Propulsive_Swimming_Wakes?f_ri=2802","dom_id":"work_363473","summary":"hands, arms and feet to the water and the aim in sport is to maximize effective propulsion minimizing energy. In previous studies we recorded propulsive force during tethered swimming and used bubbles to trace the water flow (Arellano et al, 2002, 2006)[1,2]. Vorticity in wakes was seen to be dominant in the best swimmers, whose circulation produced by both hands and feet (eddies or vortex structures) were more regular. When non-steady motions occur Zhukovsky’s condition is not met and unbound vortices are shed at the tips of the hands and feet in a turbulent 3D fashion forming a complex wake","downloadable_attachments":[{"id":1797951,"asset_id":363473,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":277987,"first_name":"Jose M.","last_name":"Redondo","domain_name":"upc","page_name":"JoseMRedondo","display_name":"Jose M. Redondo","profile_url":"https://upc.academia.edu/JoseMRedondo?f_ri=2802","photo":"https://0.academia-photos.com/277987/68203/74940/s65_jose_m..redondo.jpg"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":24557,"name":"Propulsion","url":"https://www.academia.edu/Documents/in/Propulsion?f_ri=2802","nofollow":true},{"id":28582,"name":"Swimming","url":"https://www.academia.edu/Documents/in/Swimming?f_ri=2802","nofollow":true},{"id":71081,"name":"Bluff body wakes","url":"https://www.academia.edu/Documents/in/Bluff_body_wakes?f_ri=2802","nofollow":true},{"id":157849,"name":"Swimming biomechanics","url":"https://www.academia.edu/Documents/in/Swimming_biomechanics?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_27539729" data-work_id="27539729" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/27539729/Log_amplitude_variance_and_wave_structure_function_a_new_perspective_for_Gaussian_beams">Log-amplitude variance and wave structure function: a new perspective for Gaussian beams</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Two naturally linked pairs of nondimensional parameters are identified such that either pair, together with wavelength and path length, completely specifies the diffractive propagation environment for a lowest-order paraxial Gaussian... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_27539729" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Two naturally linked pairs of nondimensional parameters are identified such that either pair, together with wavelength and path length, completely specifies the diffractive propagation environment for a lowest-order paraxial Gaussian beam. Both parameter pairs are intuitive, and within the context of locally homogeneous and isotropic turbulence they reflect the long-recognized importance of the Fresnel zone size in the behavior of Rytov propagation statistics. These parameter pairs, called, respectively, the transmitter and receiver parameters, also provide a change in perspective in the analysis of optical turbulence effects on Gaussian beams by unifying a number of behavioral traits previously observed or predicted, and they create an environment in which the determination of limiting interrelationships between beam forms is especially simple. The fundamental nature of the parameter pairs becomes apparent in the derived analytical expressions for the log-amplitude variance and the wave structure function. These expressions verify general optical turbulence-related characteristics predicted for Gaussian beams, provide additional insights into beam-wave behavior, and are convenient tools for beam-wave analysis.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/27539729" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="adf84fa78e7348521744952361779fc1" rel="nofollow" data-download="{"attachment_id":47793265,"asset_id":27539729,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47793265/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="51703423" href="https://independent.academia.edu/WillardMiller">Willard Miller</a><script data-card-contents-for-user="51703423" type="text/json">{"id":51703423,"first_name":"Willard","last_name":"Miller","domain_name":"independent","page_name":"WillardMiller","display_name":"Willard Miller","profile_url":"https://independent.academia.edu/WillardMiller?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_27539729 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="27539729"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 27539729, container: ".js-paper-rank-work_27539729", }); 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$(".js-view-count[data-work-id=27539729]").text(description); $(".js-view-count-work_27539729").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_27539729").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="27539729"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="7936" rel="nofollow" href="https://www.academia.edu/Documents/in/Quantum_Mechanics">Quantum Mechanics</a>, <script data-card-contents-for-ri="7936" type="text/json">{"id":7936,"name":"Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Quantum_Mechanics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="260010" rel="nofollow" href="https://www.academia.edu/Documents/in/Wave_propagation">Wave propagation</a>, <script data-card-contents-for-ri="260010" type="text/json">{"id":260010,"name":"Wave propagation","url":"https://www.academia.edu/Documents/in/Wave_propagation?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="263152" rel="nofollow" href="https://www.academia.edu/Documents/in/Optical_physics">Optical physics</a><script data-card-contents-for-ri="263152" type="text/json">{"id":263152,"name":"Optical physics","url":"https://www.academia.edu/Documents/in/Optical_physics?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=27539729]'), work: {"id":27539729,"title":"Log-amplitude variance and wave structure function: a new perspective for Gaussian beams","created_at":"2016-08-04T11:30:22.319-07:00","url":"https://www.academia.edu/27539729/Log_amplitude_variance_and_wave_structure_function_a_new_perspective_for_Gaussian_beams?f_ri=2802","dom_id":"work_27539729","summary":"Two naturally linked pairs of nondimensional parameters are identified such that either pair, together with wavelength and path length, completely specifies the diffractive propagation environment for a lowest-order paraxial Gaussian beam. Both parameter pairs are intuitive, and within the context of locally homogeneous and isotropic turbulence they reflect the long-recognized importance of the Fresnel zone size in the behavior of Rytov propagation statistics. These parameter pairs, called, respectively, the transmitter and receiver parameters, also provide a change in perspective in the analysis of optical turbulence effects on Gaussian beams by unifying a number of behavioral traits previously observed or predicted, and they create an environment in which the determination of limiting interrelationships between beam forms is especially simple. The fundamental nature of the parameter pairs becomes apparent in the derived analytical expressions for the log-amplitude variance and the wave structure function. These expressions verify general optical turbulence-related characteristics predicted for Gaussian beams, provide additional insights into beam-wave behavior, and are convenient tools for beam-wave analysis.","downloadable_attachments":[{"id":47793265,"asset_id":27539729,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":51703423,"first_name":"Willard","last_name":"Miller","domain_name":"independent","page_name":"WillardMiller","display_name":"Willard Miller","profile_url":"https://independent.academia.edu/WillardMiller?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":7936,"name":"Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Quantum_Mechanics?f_ri=2802","nofollow":true},{"id":260010,"name":"Wave propagation","url":"https://www.academia.edu/Documents/in/Wave_propagation?f_ri=2802","nofollow":true},{"id":263152,"name":"Optical physics","url":"https://www.academia.edu/Documents/in/Optical_physics?f_ri=2802","nofollow":true},{"id":291387,"name":"Mathematical Model","url":"https://www.academia.edu/Documents/in/Mathematical_Model?f_ri=2802"},{"id":359001,"name":"Optometry and Ophthalmology","url":"https://www.academia.edu/Documents/in/Optometry_and_Ophthalmology?f_ri=2802"},{"id":688446,"name":"Gaussian Process","url":"https://www.academia.edu/Documents/in/Gaussian_Process?f_ri=2802"},{"id":864976,"name":"Integral Equation","url":"https://www.academia.edu/Documents/in/Integral_Equation?f_ri=2802"},{"id":1011864,"name":"Structure Function","url":"https://www.academia.edu/Documents/in/Structure_Function?f_ri=2802"},{"id":1174391,"name":"Atmospheric Optics","url":"https://www.academia.edu/Documents/in/Atmospheric_Optics?f_ri=2802"},{"id":1237788,"name":"Electrical And Electronic Engineering","url":"https://www.academia.edu/Documents/in/Electrical_And_Electronic_Engineering?f_ri=2802"},{"id":1582189,"name":"Scintillation","url":"https://www.academia.edu/Documents/in/Scintillation?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_15483505 coauthored" data-work_id="15483505" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/15483505/Three_dimensional_flow_dynamics_around_deflectors">Three-dimensional flow dynamics around deflectors</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Many river rehabilitation projects to enhance the aquatic habitat focus on the creation of pool and riffle habitat by the implementation of flow deflectors, with various degrees of successes and failures. A more comprehensive... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_15483505" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Many river rehabilitation projects to enhance the aquatic habitat focus on the creation of pool and riffle habitat by the implementation of flow deflectors, with various degrees of successes and failures. A more comprehensive understanding of the complex three-dimensional flow dynamics that induces scour around instream structures is required for a more effective design. The objective of this study is to examine the three-dimensional mean and turbulent flow characteristics around paired flow deflectors for various types of deflector design in a laboratory flume. Three deflector angles (45 , 90 and 135 ) and two deflector heights (with flow under and over the deflector height) were tested over a smooth (plexiglas) bed and a sand bed. Three-dimensional velocity measurements were taken with an acoustic Doppler velocimeter at several planform positions at two heights above the bed. Results show that the 90 deflectors create the most important disturbance in the mean flow field, in turbulence intensity and bed shear stress. There is, however, a marked difference in the spatial distribution of the mean and turbulent parameters over a mobile bed and over a smooth, fixed bed. This stresses the importance of understanding the feedback between bed topography and flow dynamics and limits the applicability of conclusions drawn from plane bed experiments to natural rivers.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/15483505" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ae6a13c38227b88cc60adbc900e55ac1" rel="nofollow" data-download="{"attachment_id":43152526,"asset_id":15483505,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43152526/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="34681900" href="https://independent.academia.edu/MichelLapointe1">Michel Lapointe</a><script data-card-contents-for-user="34681900" type="text/json">{"id":34681900,"first_name":"Michel","last_name":"Lapointe","domain_name":"independent","page_name":"MichelLapointe1","display_name":"Michel Lapointe","profile_url":"https://independent.academia.edu/MichelLapointe1?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-15483505">+2</span><div class="hidden js-additional-users-15483505"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://concordia.academia.edu/httpwwwconcordiacaartscigeographyplanningenvironmentfacultyhtmlfpidpascalebiron">Pascale Biron</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/RobsonColleen">Colleen Robson</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-15483505'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-15483505').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_15483505 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="15483505"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 15483505, container: ".js-paper-rank-work_15483505", }); });</script></li><li class="js-percentile-work_15483505 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15483505; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_15483505"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_15483505 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="15483505"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15483505; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15483505]").text(description); $(".js-view-count-work_15483505").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_15483505").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="15483505"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="55" rel="nofollow" href="https://www.academia.edu/Documents/in/Environmental_Engineering">Environmental Engineering</a>, <script data-card-contents-for-ri="55" type="text/json">{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2550" rel="nofollow" href="https://www.academia.edu/Documents/in/Hydraulics">Hydraulics</a>, <script data-card-contents-for-ri="2550" type="text/json">{"id":2550,"name":"Hydraulics","url":"https://www.academia.edu/Documents/in/Hydraulics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="9846" rel="nofollow" href="https://www.academia.edu/Documents/in/Ecology">Ecology</a><script data-card-contents-for-ri="9846" type="text/json">{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=15483505]'), work: {"id":15483505,"title":"Three-dimensional flow dynamics around deflectors","created_at":"2015-09-07T08:50:18.346-07:00","url":"https://www.academia.edu/15483505/Three_dimensional_flow_dynamics_around_deflectors?f_ri=2802","dom_id":"work_15483505","summary":"Many river rehabilitation projects to enhance the aquatic habitat focus on the creation of pool and riffle habitat by the implementation of flow deflectors, with various degrees of successes and failures. A more comprehensive understanding of the complex three-dimensional flow dynamics that induces scour around instream structures is required for a more effective design. The objective of this study is to examine the three-dimensional mean and turbulent flow characteristics around paired flow deflectors for various types of deflector design in a laboratory flume. Three deflector angles (45 , 90 and 135 ) and two deflector heights (with flow under and over the deflector height) were tested over a smooth (plexiglas) bed and a sand bed. Three-dimensional velocity measurements were taken with an acoustic Doppler velocimeter at several planform positions at two heights above the bed. Results show that the 90 deflectors create the most important disturbance in the mean flow field, in turbulence intensity and bed shear stress. There is, however, a marked difference in the spatial distribution of the mean and turbulent parameters over a mobile bed and over a smooth, fixed bed. This stresses the importance of understanding the feedback between bed topography and flow dynamics and limits the applicability of conclusions drawn from plane bed experiments to natural rivers.","downloadable_attachments":[{"id":43152526,"asset_id":15483505,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":34681900,"first_name":"Michel","last_name":"Lapointe","domain_name":"independent","page_name":"MichelLapointe1","display_name":"Michel Lapointe","profile_url":"https://independent.academia.edu/MichelLapointe1?f_ri=2802","photo":"/images/s65_no_pic.png"},{"id":34625790,"first_name":"Pascale","last_name":"Biron","domain_name":"concordia","page_name":"httpwwwconcordiacaartscigeographyplanningenvironmentfacultyhtmlfpidpascalebiron","display_name":"Pascale Biron","profile_url":"https://concordia.academia.edu/httpwwwconcordiacaartscigeographyplanningenvironmentfacultyhtmlfpidpascalebiron?f_ri=2802","photo":"/images/s65_no_pic.png"},{"id":34683642,"first_name":"Colleen","last_name":"Robson","domain_name":"independent","page_name":"RobsonColleen","display_name":"Colleen Robson","profile_url":"https://independent.academia.edu/RobsonColleen?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering?f_ri=2802","nofollow":true},{"id":2550,"name":"Hydraulics","url":"https://www.academia.edu/Documents/in/Hydraulics?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology?f_ri=2802","nofollow":true},{"id":44334,"name":"River","url":"https://www.academia.edu/Documents/in/River?f_ri=2802"},{"id":85707,"name":"Habitat","url":"https://www.academia.edu/Documents/in/Habitat?f_ri=2802"},{"id":106333,"name":"Ecosystems","url":"https://www.academia.edu/Documents/in/Ecosystems?f_ri=2802"},{"id":171114,"name":"Turbulent Flow","url":"https://www.academia.edu/Documents/in/Turbulent_Flow?f_ri=2802"},{"id":175859,"name":"Shear Stress","url":"https://www.academia.edu/Documents/in/Shear_Stress?f_ri=2802"},{"id":179332,"name":"Hydrodynamics","url":"https://www.academia.edu/Documents/in/Hydrodynamics?f_ri=2802"},{"id":185718,"name":"Bedforms","url":"https://www.academia.edu/Documents/in/Bedforms?f_ri=2802"},{"id":337500,"name":"Velocity","url":"https://www.academia.edu/Documents/in/Velocity?f_ri=2802"},{"id":504035,"name":"Three Dimensional","url":"https://www.academia.edu/Documents/in/Three_Dimensional?f_ri=2802"},{"id":1957240,"name":"ENVIRONMENTAL SCIENCE AND MANAGEMENT","url":"https://www.academia.edu/Documents/in/ENVIRONMENTAL_SCIENCE_AND_MANAGEMENT?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_34718196" data-work_id="34718196" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/34718196/Flow_and_Sediment_Transport_on_a_Tidal_Salt_Marsh_Surface">Flow and Sediment Transport on a Tidal Salt Marsh Surface</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The physical processes that control mineral sediment deposition on a mesotidal salt marsh surface on the Atlantic Coast of Virginia were characterized through a series of measurements of sediment concentration, flow velocity, turbulence,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_34718196" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The physical processes that control mineral sediment deposition on a mesotidal salt marsh surface on the Atlantic Coast of Virginia were characterized through a series of measurements of sediment concentration, flow velocity, turbulence, water surface elevation, marsh topography and particle size distributions of sediment deposited on the marsh surface. The comprehensive nature of the data set allowed assessment of the temporal and spatial variability in marsh surface deposition, the variability in depositional processes among tides of different amplitudes, as well as the specific processes that control deposition on this tidal marsh. Through three different types of measurements, it was found that sediment deposition occurred on the marsh surface during rising tides at tidal elevations ranging from those barely flooding the creek bank to high spring tides, and that sediment was not remobilized by tidal flows after initial deposition. Sediment deposition occurred on this marsh surface largely because fine sediment in suspension formed flocs. Analysis of inorganic grain size distributions of sediment deposited within 8 m of the tidal creek indicated that 70-80% of this sediment was deposited in a flocculated form. The rest (particles larger than 20 m) were deposited as individual particles. In the marsh interior, 25 m from the tidal creek, single grain settling predominated. Reduction of turbulence levels within the vegetation canopy on the marsh also promoted particle settling. The processes controlling sediment deposition did not vary among tides. However, suspended sediment concentrations near the creek bank increased with increasing tidal amplitude, consequently promoting higher rates of deposition on higher tides.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/34718196" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b49aca1a7f684f3c7f7f5d6127e847f8" rel="nofollow" data-download="{"attachment_id":54574944,"asset_id":34718196,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/54574944/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="68841570" href="https://independent.academia.edu/TimothyMilligan">Timothy Milligan</a><script data-card-contents-for-user="68841570" type="text/json">{"id":68841570,"first_name":"Timothy","last_name":"Milligan","domain_name":"independent","page_name":"TimothyMilligan","display_name":"Timothy Milligan","profile_url":"https://independent.academia.edu/TimothyMilligan?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_34718196 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="34718196"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 34718196, container: ".js-paper-rank-work_34718196", }); });</script></li><li class="js-percentile-work_34718196 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34718196; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_34718196"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_34718196 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="34718196"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34718196; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34718196]").text(description); $(".js-view-count-work_34718196").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_34718196").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="34718196"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="400" rel="nofollow" href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a>, <script data-card-contents-for-ri="400" type="text/json">{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="47884" rel="nofollow" href="https://www.academia.edu/Documents/in/Biological_Sciences">Biological Sciences</a>, <script data-card-contents-for-ri="47884" type="text/json">{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="58054" rel="nofollow" href="https://www.academia.edu/Documents/in/Environmental_Sciences">Environmental Sciences</a><script data-card-contents-for-ri="58054" type="text/json">{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=34718196]'), work: {"id":34718196,"title":"Flow and Sediment Transport on a Tidal Salt Marsh Surface","created_at":"2017-09-29T08:20:52.856-07:00","url":"https://www.academia.edu/34718196/Flow_and_Sediment_Transport_on_a_Tidal_Salt_Marsh_Surface?f_ri=2802","dom_id":"work_34718196","summary":"The physical processes that control mineral sediment deposition on a mesotidal salt marsh surface on the Atlantic Coast of Virginia were characterized through a series of measurements of sediment concentration, flow velocity, turbulence, water surface elevation, marsh topography and particle size distributions of sediment deposited on the marsh surface. The comprehensive nature of the data set allowed assessment of the temporal and spatial variability in marsh surface deposition, the variability in depositional processes among tides of different amplitudes, as well as the specific processes that control deposition on this tidal marsh. Through three different types of measurements, it was found that sediment deposition occurred on the marsh surface during rising tides at tidal elevations ranging from those barely flooding the creek bank to high spring tides, and that sediment was not remobilized by tidal flows after initial deposition. Sediment deposition occurred on this marsh surface largely because fine sediment in suspension formed flocs. Analysis of inorganic grain size distributions of sediment deposited within 8 m of the tidal creek indicated that 70-80% of this sediment was deposited in a flocculated form. The rest (particles larger than 20 m) were deposited as individual particles. In the marsh interior, 25 m from the tidal creek, single grain settling predominated. Reduction of turbulence levels within the vegetation canopy on the marsh also promoted particle settling. The processes controlling sediment deposition did not vary among tides. However, suspended sediment concentrations near the creek bank increased with increasing tidal amplitude, consequently promoting higher rates of deposition on higher tides.","downloadable_attachments":[{"id":54574944,"asset_id":34718196,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":68841570,"first_name":"Timothy","last_name":"Milligan","domain_name":"independent","page_name":"TimothyMilligan","display_name":"Timothy Milligan","profile_url":"https://independent.academia.edu/TimothyMilligan?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2802","nofollow":true},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences?f_ri=2802","nofollow":true},{"id":60194,"name":"Transport","url":"https://www.academia.edu/Documents/in/Transport?f_ri=2802"},{"id":113501,"name":"Sediment transport","url":"https://www.academia.edu/Documents/in/Sediment_transport?f_ri=2802"},{"id":134201,"name":"Deposition","url":"https://www.academia.edu/Documents/in/Deposition?f_ri=2802"},{"id":155340,"name":"Sediments","url":"https://www.academia.edu/Documents/in/Sediments?f_ri=2802"},{"id":192294,"name":"Sediment","url":"https://www.academia.edu/Documents/in/Sediment?f_ri=2802"},{"id":216893,"name":"Grain size distribution","url":"https://www.academia.edu/Documents/in/Grain_size_distribution?f_ri=2802"},{"id":241820,"name":"Spatial Variability","url":"https://www.academia.edu/Documents/in/Spatial_Variability?f_ri=2802"},{"id":576179,"name":"Salt marsh","url":"https://www.academia.edu/Documents/in/Salt_marsh?f_ri=2802"},{"id":601516,"name":"Flow Velocity","url":"https://www.academia.edu/Documents/in/Flow_Velocity?f_ri=2802"},{"id":620328,"name":"Sediment Transport","url":"https://www.academia.edu/Documents/in/Sediment_Transport-5?f_ri=2802"},{"id":675159,"name":"Long Term Ecological Research","url":"https://www.academia.edu/Documents/in/Long_Term_Ecological_Research?f_ri=2802"},{"id":1136005,"name":"Particle Size Distribution","url":"https://www.academia.edu/Documents/in/Particle_Size_Distribution?f_ri=2802"},{"id":1339942,"name":"Suspended Sediment Concentration","url":"https://www.academia.edu/Documents/in/Suspended_Sediment_Concentration?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5447527" data-work_id="5447527" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5447527/Physics_of_the_Cigarette_Filter_Fluid_Flow_through_Structures_with_Randomly_Placed_Obstacles">Physics of the Cigarette Filter: Fluid Flow through Structures with Randomly-Placed Obstacles</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This talk brie y reviews the subject of uid ow through disordered media. In particular, we focus on the sorts of considerations that may be necessary to move statistical physics from the description of idealized ows in the limit of zero... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5447527" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This talk brie y reviews the subject of uid ow through disordered media. In particular, we focus on the sorts of considerations that may be necessary to move statistical physics from the description of idealized ows in the limit of zero Reynolds number to more realistic ows of real uids moving at a nonzero velocity, where inertia e ects mean that dangling ends are explored and the backbone is not entirely explored by the uid. We discuss several intriguing features, such as the surprisingly sharp change in behavior from a localized to delocalized ow structure (distribution of ow velocities) that seems to occur at a critical value of Re which is orders of magnitude smaller than the critical value of Re where turbulence sets in.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5447527" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1a80655ec413a5dbec97ddb5c8049569" rel="nofollow" data-download="{"attachment_id":32570800,"asset_id":5447527,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/32570800/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="7630487" href="https://bu.academia.edu/EugeneStanley">Eugene Stanley</a><script data-card-contents-for-user="7630487" type="text/json">{"id":7630487,"first_name":"Eugene","last_name":"Stanley","domain_name":"bu","page_name":"EugeneStanley","display_name":"Eugene Stanley","profile_url":"https://bu.academia.edu/EugeneStanley?f_ri=2802","photo":"https://0.academia-photos.com/7630487/2749271/3203685/s65_eugene.stanley.jpg"}</script></span></span></li><li class="js-paper-rank-work_5447527 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5447527"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5447527, container: ".js-paper-rank-work_5447527", }); });</script></li><li class="js-percentile-work_5447527 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5447527; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5447527"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5447527 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5447527"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5447527; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5447527]").text(description); $(".js-view-count-work_5447527").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5447527").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5447527"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="16496" rel="nofollow" href="https://www.academia.edu/Documents/in/Fluid_Dynamics">Fluid Dynamics</a>, <script data-card-contents-for-ri="16496" type="text/json">{"id":16496,"name":"Fluid Dynamics","url":"https://www.academia.edu/Documents/in/Fluid_Dynamics?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="50071" rel="nofollow" href="https://www.academia.edu/Documents/in/Percolation">Percolation</a>, <script data-card-contents-for-ri="50071" type="text/json">{"id":50071,"name":"Percolation","url":"https://www.academia.edu/Documents/in/Percolation?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="202428" rel="nofollow" href="https://www.academia.edu/Documents/in/Respiration">Respiration</a><script data-card-contents-for-ri="202428" type="text/json">{"id":202428,"name":"Respiration","url":"https://www.academia.edu/Documents/in/Respiration?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5447527]'), work: {"id":5447527,"title":"Physics of the Cigarette Filter: Fluid Flow through Structures with Randomly-Placed Obstacles","created_at":"2013-12-16T10:42:06.675-08:00","url":"https://www.academia.edu/5447527/Physics_of_the_Cigarette_Filter_Fluid_Flow_through_Structures_with_Randomly_Placed_Obstacles?f_ri=2802","dom_id":"work_5447527","summary":"This talk brie y reviews the subject of uid ow through disordered media. In particular, we focus on the sorts of considerations that may be necessary to move statistical physics from the description of idealized ows in the limit of zero Reynolds number to more realistic ows of real uids moving at a nonzero velocity, where inertia e ects mean that dangling ends are explored and the backbone is not entirely explored by the uid. We discuss several intriguing features, such as the surprisingly sharp change in behavior from a localized to delocalized ow structure (distribution of ow velocities) that seems to occur at a critical value of Re which is orders of magnitude smaller than the critical value of Re where turbulence sets in.","downloadable_attachments":[{"id":32570800,"asset_id":5447527,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":7630487,"first_name":"Eugene","last_name":"Stanley","domain_name":"bu","page_name":"EugeneStanley","display_name":"Eugene Stanley","profile_url":"https://bu.academia.edu/EugeneStanley?f_ri=2802","photo":"https://0.academia-photos.com/7630487/2749271/3203685/s65_eugene.stanley.jpg"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":16496,"name":"Fluid Dynamics","url":"https://www.academia.edu/Documents/in/Fluid_Dynamics?f_ri=2802","nofollow":true},{"id":50071,"name":"Percolation","url":"https://www.academia.edu/Documents/in/Percolation?f_ri=2802","nofollow":true},{"id":202428,"name":"Respiration","url":"https://www.academia.edu/Documents/in/Respiration?f_ri=2802","nofollow":true},{"id":211877,"name":"Wetting","url":"https://www.academia.edu/Documents/in/Wetting?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3774036" data-work_id="3774036" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/3774036/Volumetric_power_consumption_in_baffled_shake_flasks">Volumetric power consumption in baffled shake flasks</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">For the cultivation of microorganisms, baffled shake flasks are employed when increased levels of oxygenation and mixing are required. Their use has been discouraged, however, due to the danger of a wetted sterile plug and the lower... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3774036" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">For the cultivation of microorganisms, baffled shake flasks are employed when increased levels of oxygenation and mixing are required. Their use has been discouraged, however, due to the danger of a wetted sterile plug and the lower reproducibility of the experimental results. Consequently, there are only few studies dealing with this type of shaken bioreactor, and there is practically no characterization of this reactor type from a chemical engineering viewpoint. Therefore, a systematic study to elaborate the basic characteristics of the volumetric power consumption and the unfavorable out-of-phase phenomenon in baffled shake flasks is undertaken. A new type of measuring device was developed to measure the volumetric power consumption in a single shake flask. The volumetric power consumption was found to increase with increasing shaking frequency and with decreasing filling volume. Further, an independency of power consumption on the shaking diameter was observed as long as the fluid motion is in-phase. A comparison of two different baffle geometries demonstrated that deeper baffles cause more resistance to fluid flow. For the commonly employed shaking diameter of 25 mm, the investigated baffled flask types may not be operated in the in-phase state. A larger shaking diameter must therefore be employed. It was found for the first time that for all in-phase conditions, the dimensionless Newton number Ne′Ne′ is independent of the Reynolds number Re. Power consumption in baffled shake flasks may therefore be described by a characteristic Ne′Ne′ only dependent on the filling volume VLVL and the flask type. Even though there are quantitative differences, a qualitative similarity between fluid flow in stirred tanks and shake flasks has been demonstrated.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3774036" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bc5c91f8c8718260994a7e80153b26f1" rel="nofollow" data-download="{"attachment_id":50138387,"asset_id":3774036,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50138387/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="4637297" href="https://independent.academia.edu/StefanLotter">Stefan Lotter</a><script data-card-contents-for-user="4637297" type="text/json">{"id":4637297,"first_name":"Stefan","last_name":"Lotter","domain_name":"independent","page_name":"StefanLotter","display_name":"Stefan Lotter","profile_url":"https://independent.academia.edu/StefanLotter?f_ri=2802","photo":"https://0.academia-photos.com/4637297/1942866/2298359/s65_stefan.lotter.jpg"}</script></span></span></li><li class="js-paper-rank-work_3774036 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3774036"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3774036, container: ".js-paper-rank-work_3774036", }); 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Their use has been discouraged, however, due to the danger of a wetted sterile plug and the lower reproducibility of the experimental results. Consequently, there are only few studies dealing with this type of shaken bioreactor, and there is practically no characterization of this reactor type from a chemical engineering viewpoint. Therefore, a systematic study to elaborate the basic characteristics of the volumetric power consumption and the unfavorable out-of-phase phenomenon in baffled shake flasks is undertaken. A new type of measuring device was developed to measure the volumetric power consumption in a single shake flask. The volumetric power consumption was found to increase with increasing shaking frequency and with decreasing filling volume. Further, an independency of power consumption on the shaking diameter was observed as long as the fluid motion is in-phase. A comparison of two different baffle geometries demonstrated that deeper baffles cause more resistance to fluid flow. For the commonly employed shaking diameter of 25 mm, the investigated baffled flask types may not be operated in the in-phase state. A larger shaking diameter must therefore be employed. It was found for the first time that for all in-phase conditions, the dimensionless Newton number Ne′Ne′ is independent of the Reynolds number Re. Power consumption in baffled shake flasks may therefore be described by a characteristic Ne′Ne′ only dependent on the filling volume VLVL and the flask type. Even though there are quantitative differences, a qualitative similarity between fluid flow in stirred tanks and shake flasks has been demonstrated.","downloadable_attachments":[{"id":50138387,"asset_id":3774036,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":4637297,"first_name":"Stefan","last_name":"Lotter","domain_name":"independent","page_name":"StefanLotter","display_name":"Stefan Lotter","profile_url":"https://independent.academia.edu/StefanLotter?f_ri=2802","photo":"https://0.academia-photos.com/4637297/1942866/2298359/s65_stefan.lotter.jpg"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":42811,"name":"Mixing","url":"https://www.academia.edu/Documents/in/Mixing?f_ri=2802","nofollow":true},{"id":58370,"name":"Bioreactor","url":"https://www.academia.edu/Documents/in/Bioreactor?f_ri=2802"},{"id":123710,"name":"Power Consumption","url":"https://www.academia.edu/Documents/in/Power_Consumption?f_ri=2802"},{"id":150019,"name":"Similarity","url":"https://www.academia.edu/Documents/in/Similarity?f_ri=2802"},{"id":177876,"name":"Sterilization","url":"https://www.academia.edu/Documents/in/Sterilization?f_ri=2802"},{"id":179332,"name":"Hydrodynamics","url":"https://www.academia.edu/Documents/in/Hydrodynamics?f_ri=2802"},{"id":215076,"name":"Fluid flow","url":"https://www.academia.edu/Documents/in/Fluid_flow?f_ri=2802"},{"id":269129,"name":"Fermentation","url":"https://www.academia.edu/Documents/in/Fermentation?f_ri=2802"},{"id":552191,"name":"Reactor","url":"https://www.academia.edu/Documents/in/Reactor?f_ri=2802"},{"id":595175,"name":"Chemical Engineering Science","url":"https://www.academia.edu/Documents/in/Chemical_Engineering_Science?f_ri=2802"},{"id":1008960,"name":"Reynolds Number","url":"https://www.academia.edu/Documents/in/Reynolds_Number?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69055206" data-work_id="69055206" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/69055206/On_Turbulence_Production_by_Swimming_Marine_Organisms_in_the_Open_Ocean_and_Coastal_Waters">On Turbulence Production by Swimming Marine Organisms in the Open Ocean and Coastal Waters</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Microstructure and acoustic profile time series were collected near Ocean Station P in the eastern subarctic North Pacific and in Saanich Inlet at the south end of Vancouver Island, British Columbia, Canada, to examine production of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69055206" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Microstructure and acoustic profile time series were collected near Ocean Station P in the eastern subarctic North Pacific and in Saanich Inlet at the south end of Vancouver Island, British Columbia, Canada, to examine production of turbulent dissipation by swimming marine organisms. At Ocean Station P, although a number of zooplankton species are large enough to generate turbulence with Reynolds numbers Re &gt; 1000, biomass densities are typically less than 103 individuals per cubic meter (&lt;0.01% by volume), and turbulent kinetic energy dissipation rates ε were better correlated with 16-m vertical shear than acoustic backscatter layers. In Saanich Inlet, where krill densities are up to 104 individuals per cubic meter (0.1% by volume), no dramatic elevation of dissipation rates ε was associated with dusk and dawn vertical migrations of the acoustic backscatter layer. Dissipation rates are a factor of 2 higher [〈ε〉 = 1.4 × 10−8 W kg−1, corresponding to buoyancy Re = 〈ε〉/(νN 2) ∼ ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69055206" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="74757ea0b6e3aa94c98cf424f57d8a1c" rel="nofollow" data-download="{"attachment_id":79300189,"asset_id":69055206,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79300189/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="200732408" rel="nofollow" href="https://independent.academia.edu/RichardDewey4">Richard Dewey</a><script data-card-contents-for-user="200732408" type="text/json">{"id":200732408,"first_name":"Richard","last_name":"Dewey","domain_name":"independent","page_name":"RichardDewey4","display_name":"Richard Dewey","profile_url":"https://independent.academia.edu/RichardDewey4?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_69055206 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69055206"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69055206, container: ".js-paper-rank-work_69055206", }); 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At Ocean Station P, although a number of zooplankton species are large enough to generate turbulence with Reynolds numbers Re \u0026gt; 1000, biomass densities are typically less than 103 individuals per cubic meter (\u0026lt;0.01% by volume), and turbulent kinetic energy dissipation rates ε were better correlated with 16-m vertical shear than acoustic backscatter layers. In Saanich Inlet, where krill densities are up to 104 individuals per cubic meter (0.1% by volume), no dramatic elevation of dissipation rates ε was associated with dusk and dawn vertical migrations of the acoustic backscatter layer. Dissipation rates are a factor of 2 higher [〈ε〉 = 1.4 × 10−8 W kg−1, corresponding to buoyancy Re = 〈ε〉/(νN 2) ∼ ...","downloadable_attachments":[{"id":79300189,"asset_id":69055206,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":200732408,"first_name":"Richard","last_name":"Dewey","domain_name":"independent","page_name":"RichardDewey4","display_name":"Richard Dewey","profile_url":"https://independent.academia.edu/RichardDewey4?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science?f_ri=2802","nofollow":true},{"id":415,"name":"Oceanography","url":"https://www.academia.edu/Documents/in/Oceanography?f_ri=2802","nofollow":true},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=2802","nofollow":true},{"id":2161,"name":"Microstructure","url":"https://www.academia.edu/Documents/in/Microstructure?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802"},{"id":4456,"name":"Time Series","url":"https://www.academia.edu/Documents/in/Time_Series?f_ri=2802"},{"id":16691,"name":"Physical Oceanography","url":"https://www.academia.edu/Documents/in/Physical_Oceanography?f_ri=2802"},{"id":57531,"name":"Sampling","url":"https://www.academia.edu/Documents/in/Sampling?f_ri=2802"},{"id":65140,"name":"Models","url":"https://www.academia.edu/Documents/in/Models?f_ri=2802"},{"id":107671,"name":"Plankton","url":"https://www.academia.edu/Documents/in/Plankton?f_ri=2802"},{"id":187216,"name":"Zooplankton","url":"https://www.academia.edu/Documents/in/Zooplankton?f_ri=2802"},{"id":192257,"name":"Physical","url":"https://www.academia.edu/Documents/in/Physical?f_ri=2802"},{"id":473797,"name":"Microstructures","url":"https://www.academia.edu/Documents/in/Microstructures?f_ri=2802"},{"id":477461,"name":"Coastal Zone","url":"https://www.academia.edu/Documents/in/Coastal_Zone?f_ri=2802"},{"id":571946,"name":"Coastal waters","url":"https://www.academia.edu/Documents/in/Coastal_waters?f_ri=2802"},{"id":1008960,"name":"Reynolds Number","url":"https://www.academia.edu/Documents/in/Reynolds_Number?f_ri=2802"},{"id":2380814,"name":"Plancton","url":"https://www.academia.edu/Documents/in/Plancton?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6627178" data-work_id="6627178" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/6627178/G%C3%A9om%C3%A9trie_de_lintermittence_en_turbulence_d%C3%A9velopp%C3%A9e">Géométrie de l'intermittence en turbulence développée</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Cambridge CB3 9EW, United Kingdom Courriel : D.J. <a href="mailto:Queiros-Conde@damtp.cam.ac.uk" rel="nofollow">Queiros-Conde@damtp.cam.ac.uk</a> (Rqu le 27 janvier 1999, accept6 aprks rkvision le 26 juillet 1999) RCsumC. Une interprktation gbomkique de l'intermittence en turbulence dCveloppCe est... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6627178" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Cambridge CB3 9EW, United Kingdom Courriel : D.J. <a href="mailto:Queiros-Conde@damtp.cam.ac.uk" rel="nofollow">Queiros-Conde@damtp.cam.ac.uk</a> (Rqu le 27 janvier 1999, accept6 aprks rkvision le 26 juillet 1999) RCsumC. Une interprktation gbomkique de l'intermittence en turbulence dCveloppCe est r&lide g&e k une hiCrarchie de structures fractales Sz, de dimensions Ap likes entre elles par les relations GP + 1 c QP (i.e. Ap + 1 < 4) y=((1+3/~)1'3+(1-33/~)1")3 et y = ( Ap + 1 -A-)/( Ap -Am) avec et A, = 1. Ceci est obtenu par l'introduction d'un saut d'entropie, defini g 1'Cchelle r, AS,< r) = ($ + 1 -4) In ( r/rO) caracdrisant le niveau d'ordre de chaque sous-structure GP et vkrifiant une relation 1inCaire AS,< r ) = y AS, _ ,( r). 0 1999 Acadkmie des sciencesklitions scientifiques et mkdicales Elsevier SAS turbulence / intermittence / fractales Geometry of intermittency in fully developed turbulence Abstract. A geometrical interpretation of intermittency in fully developed turbulence is realized through an hierarchy offractal structures QP of dimensions Ap linked each other by the relations Q,,+'l~i2p (i.e. Ap+,<AJ and y=(Ap+l-A,)l(Ap-A,) with y = ( ( 1 + 3/V% )", + ( 1 -3n/8 )1'3 )3 and A, = 1. Z'his is obtained by the introduction of an entropy jump, defined at the scale r, AS,< r) = ( Ap + 1 -4) In ( r/TO) characterizing the order level of each sub-structure s;Z, and verifying a linear relation AS,< r ) = y AS, _ ,( r). 0 1999 Acadimie des science&ditions scient$ques et mt!dicales Elsevier SAS turbulence / intermittency /fractak A bridged English Version</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6627178" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bceb5b938a54a54d3fe5b8109551448c" rel="nofollow" data-download="{"attachment_id":48777874,"asset_id":6627178,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48777874/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3254355" href="https://u-paris10.academia.edu/DiogoQueirosConde">Diogo Queiros-Conde</a><script data-card-contents-for-user="3254355" type="text/json">{"id":3254355,"first_name":"Diogo","last_name":"Queiros-Conde","domain_name":"u-paris10","page_name":"DiogoQueirosConde","display_name":"Diogo Queiros-Conde","profile_url":"https://u-paris10.academia.edu/DiogoQueirosConde?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_6627178 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6627178"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6627178, container: ".js-paper-rank-work_6627178", }); 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Queiros-Conde@damtp.cam.ac.uk (Rqu le 27 janvier 1999, accept6 aprks rkvision le 26 juillet 1999) RCsumC. Une interprktation gbomkique de l'intermittence en turbulence dCveloppCe est r\u0026lide g\u0026e k une hiCrarchie de structures fractales Sz, de dimensions Ap likes entre elles par les relations GP + 1 c QP (i.e. Ap + 1 \u003c 4) y=((1+3/~)1'3+(1-33/~)1\")3 et y = ( Ap + 1 -A-)/( Ap -Am) avec et A, = 1. Ceci est obtenu par l'introduction d'un saut d'entropie, defini g 1'Cchelle r, AS,\u003c r) = ($ + 1 -4) In ( r/rO) caracdrisant le niveau d'ordre de chaque sous-structure GP et vkrifiant une relation 1inCaire AS,\u003c r ) = y AS, _ ,( r). 0 1999 Acadkmie des sciencesklitions scientifiques et mkdicales Elsevier SAS turbulence / intermittence / fractales Geometry of intermittency in fully developed turbulence Abstract. A geometrical interpretation of intermittency in fully developed turbulence is realized through an hierarchy offractal structures QP of dimensions Ap linked each other by the relations Q,,+'l~i2p (i.e. Ap+,\u003cAJ and y=(Ap+l-A,)l(Ap-A,) with y = ( ( 1 + 3/V% )\", + ( 1 -3n/8 )1'3 )3 and A, = 1. Z'his is obtained by the introduction of an entropy jump, defined at the scale r, AS,\u003c r) = ( Ap + 1 -4) In ( r/TO) characterizing the order level of each sub-structure s;Z, and verifying a linear relation AS,\u003c r ) = y AS, _ ,( r). 0 1999 Acadimie des science\u0026ditions scient$ques et mt!dicales Elsevier SAS turbulence / intermittency /fractak A bridged English Version","downloadable_attachments":[{"id":48777874,"asset_id":6627178,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3254355,"first_name":"Diogo","last_name":"Queiros-Conde","domain_name":"u-paris10","page_name":"DiogoQueirosConde","display_name":"Diogo Queiros-Conde","profile_url":"https://u-paris10.academia.edu/DiogoQueirosConde?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":9032,"name":"Interaction","url":"https://www.academia.edu/Documents/in/Interaction?f_ri=2802","nofollow":true},{"id":24831,"name":"Fractals","url":"https://www.academia.edu/Documents/in/Fractals?f_ri=2802","nofollow":true},{"id":75647,"name":"Interactions","url":"https://www.academia.edu/Documents/in/Interactions?f_ri=2802","nofollow":true},{"id":232858,"name":"Energy Dissipation","url":"https://www.academia.edu/Documents/in/Energy_Dissipation?f_ri=2802"},{"id":253447,"name":"Intermittency","url":"https://www.academia.edu/Documents/in/Intermittency?f_ri=2802"},{"id":890611,"name":"Fractal Dimension","url":"https://www.academia.edu/Documents/in/Fractal_Dimension?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_23891753 coauthored" data-work_id="23891753" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/23891753/Facies_architecture_of_an_Archean_komatiite_hosted_Ni_sulphide_ore_deposit_Victor_Kambalda_Western_Australia_implications_for_komatiite_lava_emplacement">Facies architecture of an Archean komatiite-hosted Ni-sulphide ore deposit, Victor, Kambalda, Western Australia: implications for komatiite lava emplacement</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Nickel sulphide mineralisation is located in structural embayments or troughs at the base of thick basal komatiite lava flows at the Victor ore body, Kambalda, Western Australia. Primary contact relations, and textural and vesicle... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_23891753" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Nickel sulphide mineralisation is located in structural embayments or troughs at the base of thick basal komatiite lava flows at the Victor ore body, Kambalda, Western Australia. Primary contact relations, and textural and vesicle distribution of the host komatiite lavas, particularly the development of coherent or quench fragmented margins is consistent with emplacement of komatiites under laminar flow conditions. However, the absence of sedimentary units beneath komatiites with coherent flow tops in the ore environment seems contradictory and suggests both turbulent and passive laminar emplacement, respectively. The presence of erosive basal contacts in the ore environment suggests the komatiite lava was initially turbulent and probably open channel fed. It is during this initial stage that both erosion and deposition of the NiS deposits occurred. As the flow evolved, widened and thickened, laminar flow conditions prevailed. The komatiites are inferred to have flowed in a laminar state, through the development of interior magma tubes beneath surface crusts, and to have grown endogenously. ß</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/23891753" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e255e7ee183899b45a0ac75f6041b529" rel="nofollow" data-download="{"attachment_id":44281938,"asset_id":23891753,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/44281938/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33043682" href="https://monash.academia.edu/RayCas">Ray Cas</a><script data-card-contents-for-user="33043682" type="text/json">{"id":33043682,"first_name":"Ray","last_name":"Cas","domain_name":"monash","page_name":"RayCas","display_name":"Ray Cas","profile_url":"https://monash.academia.edu/RayCas?f_ri=2802","photo":"https://0.academia-photos.com/33043682/25874813/24535581/s65_ray.cas.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-23891753">+2</span><div class="hidden js-additional-users-23891753"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://gtk.academia.edu/yannLahaye">yann Lahaye</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/MaryJane82">Mary Jane</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-23891753'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-23891753').html(); 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Primary contact relations, and textural and vesicle distribution of the host komatiite lavas, particularly the development of coherent or quench fragmented margins is consistent with emplacement of komatiites under laminar flow conditions. However, the absence of sedimentary units beneath komatiites with coherent flow tops in the ore environment seems contradictory and suggests both turbulent and passive laminar emplacement, respectively. The presence of erosive basal contacts in the ore environment suggests the komatiite lava was initially turbulent and probably open channel fed. It is during this initial stage that both erosion and deposition of the NiS deposits occurred. As the flow evolved, widened and thickened, laminar flow conditions prevailed. The komatiites are inferred to have flowed in a laminar state, through the development of interior magma tubes beneath surface crusts, and to have grown endogenously. ß","downloadable_attachments":[{"id":44281938,"asset_id":23891753,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33043682,"first_name":"Ray","last_name":"Cas","domain_name":"monash","page_name":"RayCas","display_name":"Ray Cas","profile_url":"https://monash.academia.edu/RayCas?f_ri=2802","photo":"https://0.academia-photos.com/33043682/25874813/24535581/s65_ray.cas.jpg"},{"id":1029055,"first_name":"yann","last_name":"Lahaye","domain_name":"gtk","page_name":"yannLahaye","display_name":"yann Lahaye","profile_url":"https://gtk.academia.edu/yannLahaye?f_ri=2802","photo":"https://0.academia-photos.com/1029055/21060444/20547064/s65_yann.lahaye.jpg"},{"id":46231258,"first_name":"Mary","last_name":"Jane","domain_name":"independent","page_name":"MaryJane82","display_name":"Mary Jane","profile_url":"https://independent.academia.edu/MaryJane82?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology?f_ri=2802","nofollow":true},{"id":407,"name":"Geochemistry","url":"https://www.academia.edu/Documents/in/Geochemistry?f_ri=2802","nofollow":true},{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics?f_ri=2802","nofollow":true},{"id":1370,"name":"Volcanology","url":"https://www.academia.edu/Documents/in/Volcanology?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802"},{"id":78102,"name":"Archean","url":"https://www.academia.edu/Documents/in/Archean?f_ri=2802"},{"id":78114,"name":"Precambrian","url":"https://www.academia.edu/Documents/in/Precambrian?f_ri=2802"},{"id":84446,"name":"Erosion","url":"https://www.academia.edu/Documents/in/Erosion?f_ri=2802"},{"id":167118,"name":"Lava Flows","url":"https://www.academia.edu/Documents/in/Lava_Flows?f_ri=2802"},{"id":176527,"name":"Laminar Flow","url":"https://www.academia.edu/Documents/in/Laminar_Flow?f_ri=2802"},{"id":194828,"name":"Nickel","url":"https://www.academia.edu/Documents/in/Nickel?f_ri=2802"},{"id":271756,"name":"Western Australia","url":"https://www.academia.edu/Documents/in/Western_Australia?f_ri=2802"},{"id":277231,"name":"Mineralization","url":"https://www.academia.edu/Documents/in/Mineralization?f_ri=2802"},{"id":976618,"name":"Igneous Rocks","url":"https://www.academia.edu/Documents/in/Igneous_Rocks?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_21930797" data-work_id="21930797" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/21930797/CFD_Numerical_simulations_of_Francis_turbines">CFD Numerical simulations of Francis turbines</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this paper the description of the internal flow in a Francis turbine is addressed from a numerical point of view. The simulation methodology depends on the objectives. On the one hand, steady simulations are able to provide the hill... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_21930797" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this paper the description of the internal flow in a Francis turbine is addressed from a numerical point of view. The simulation methodology depends on the objectives. On the one hand, steady simulations are able to provide the hill chart of the turbine and energetic losses in its components. On the other hand, unsteady simulations are required to investigate the fluctuating pressure dynamics and the rotor-stator interaction. Both strategies are applied in this paper to a working Francis turbine in Colombia. The employed CFD package is ANSYS-CFX v. 11. The obtained results are in good agreement with the in site experiments, especially for the characteristic curve.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/21930797" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3c6398f15509fa751400ea8fda226173" rel="nofollow" data-download="{"attachment_id":42656662,"asset_id":21930797,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/42656662/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="43171124" href="https://johnshopkins.academia.edu/SantiagoOrrego">Santiago Orrego</a><script data-card-contents-for-user="43171124" type="text/json">{"id":43171124,"first_name":"Santiago","last_name":"Orrego","domain_name":"johnshopkins","page_name":"SantiagoOrrego","display_name":"Santiago Orrego","profile_url":"https://johnshopkins.academia.edu/SantiagoOrrego?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_21930797 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="21930797"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 21930797, container: ".js-paper-rank-work_21930797", }); 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The simulation methodology depends on the objectives. On the one hand, steady simulations are able to provide the hill chart of the turbine and energetic losses in its components. On the other hand, unsteady simulations are required to investigate the fluctuating pressure dynamics and the rotor-stator interaction. Both strategies are applied in this paper to a working Francis turbine in Colombia. The employed CFD package is ANSYS-CFX v. 11. The obtained results are in good agreement with the in site experiments, especially for the characteristic curve.","downloadable_attachments":[{"id":42656662,"asset_id":21930797,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":43171124,"first_name":"Santiago","last_name":"Orrego","domain_name":"johnshopkins","page_name":"SantiagoOrrego","display_name":"Santiago Orrego","profile_url":"https://johnshopkins.academia.edu/SantiagoOrrego?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802","nofollow":true},{"id":892890,"name":"Point of View","url":"https://www.academia.edu/Documents/in/Point_of_View?f_ri=2802","nofollow":true},{"id":1233265,"name":"Cfd","url":"https://www.academia.edu/Documents/in/Cfd?f_ri=2802","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9010047 coauthored" data-work_id="9010047" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9010047/Soliton_Turbulence_in_Shallow_Water_Ocean_Surface_Waves">Soliton Turbulence in Shallow Water Ocean Surface Waves</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We analyze shallow water wind waves in Currituck Sound, North Carolina and experimentally confirm, for the first time, the presence of soliton turbulence in ocean waves. Soliton turbulence is an exotic form of nonlinear wave motion where... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9010047" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We analyze shallow water wind waves in Currituck Sound, North Carolina and experimentally confirm, for the first time, the presence of soliton turbulence in ocean waves. Soliton turbulence is an exotic form of nonlinear wave motion where low frequency energy may also be viewed as a dense soliton gas, described theoretically by the soliton limit of the Korteweg-deVries equation, a completely integrable soliton system: Hence the phrase "soliton turbulence" is synonymous with "integrable soliton turbulence." For periodicquasiperiodic boundary conditions the ergodic solutions of Korteweg-deVries are exactly solvable by finite gap theory (FGT), the basis of our data analysis. We find that large amplitude measured wave trains near the energetic peak of a storm have low frequency power spectra that behave as ∼ω −1 . We use the linear Fourier transform to estimate this power law from the power spectrum and to filter densely packed soliton wave trains from the data. We apply FGT to determine the soliton spectrum and find that the low frequency ∼ω −1 region is soliton dominated. The solitons have random FGT phases, a soliton random phase approximation, which supports our interpretation of the data as soliton turbulence. From the probability density of the solitons we are able to demonstrate that the solitons are dense in time and highly non-Gaussian.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9010047" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="15b4ddbb278791e3db6fa6bcdb817315" rel="nofollow" data-download="{"attachment_id":35321131,"asset_id":9010047,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/35321131/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="20252352" href="https://univ-amu.academia.edu/AndreaCosta">Andrea Costa</a><script data-card-contents-for-user="20252352" type="text/json">{"id":20252352,"first_name":"Andrea","last_name":"Costa","domain_name":"univ-amu","page_name":"AndreaCosta","display_name":"Andrea Costa","profile_url":"https://univ-amu.academia.edu/AndreaCosta?f_ri=2802","photo":"https://0.academia-photos.com/20252352/5633326/6410181/s65_andrea.costa.jpg_oh_4ab732bfb3f45d3f0f04d9cf09348563_oe_54e9e48e___gda___1421024055_d64e090aa650d810442321f89a9d59be"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-9010047">+1</span><div class="hidden js-additional-users-9010047"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/alOsborne">al Osborne</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-9010047'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-9010047').html(); 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Soliton turbulence is an exotic form of nonlinear wave motion where low frequency energy may also be viewed as a dense soliton gas, described theoretically by the soliton limit of the Korteweg-deVries equation, a completely integrable soliton system: Hence the phrase \"soliton turbulence\" is synonymous with \"integrable soliton turbulence.\" For periodicquasiperiodic boundary conditions the ergodic solutions of Korteweg-deVries are exactly solvable by finite gap theory (FGT), the basis of our data analysis. We find that large amplitude measured wave trains near the energetic peak of a storm have low frequency power spectra that behave as ∼ω −1 . We use the linear Fourier transform to estimate this power law from the power spectrum and to filter densely packed soliton wave trains from the data. We apply FGT to determine the soliton spectrum and find that the low frequency ∼ω −1 region is soliton dominated. The solitons have random FGT phases, a soliton random phase approximation, which supports our interpretation of the data as soliton turbulence. From the probability density of the solitons we are able to demonstrate that the solitons are dense in time and highly non-Gaussian.","downloadable_attachments":[{"id":35321131,"asset_id":9010047,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":20252352,"first_name":"Andrea","last_name":"Costa","domain_name":"univ-amu","page_name":"AndreaCosta","display_name":"Andrea Costa","profile_url":"https://univ-amu.academia.edu/AndreaCosta?f_ri=2802","photo":"https://0.academia-photos.com/20252352/5633326/6410181/s65_andrea.costa.jpg_oh_4ab732bfb3f45d3f0f04d9cf09348563_oe_54e9e48e___gda___1421024055_d64e090aa650d810442321f89a9d59be"},{"id":2838613,"first_name":"al","last_name":"Osborne","domain_name":"independent","page_name":"alOsborne","display_name":"al Osborne","profile_url":"https://independent.academia.edu/alOsborne?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics?f_ri=2802","nofollow":true},{"id":2435,"name":"Fluid Mechanics","url":"https://www.academia.edu/Documents/in/Fluid_Mechanics?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":5495,"name":"Wave turbulence","url":"https://www.academia.edu/Documents/in/Wave_turbulence?f_ri=2802","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31500770" data-work_id="31500770" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31500770/_Embracing_and_Exploiting_Industry_Turbulence_The_Strategic_Transformation_of_Aer_Lingus_Denis_Harrington_Thomas_Lawton_Tazeeb_Rajwani_European_Management_Journal_23_4_August_2005_">‘Embracing and Exploiting Industry Turbulence: The Strategic Transformation of Aer Lingus’. Denis Harrington, Thomas Lawton, Tazeeb Rajwani [European Management Journal 23(4) August, 2005.]</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31500770" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fa34253e6e80db75a7e23ee81dbef919" rel="nofollow" data-download="{"attachment_id":51848503,"asset_id":31500770,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51848503/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="60273880" href="https://independent.academia.edu/DenisHarrington">Denis Harrington</a><script data-card-contents-for-user="60273880" type="text/json">{"id":60273880,"first_name":"Denis","last_name":"Harrington","domain_name":"independent","page_name":"DenisHarrington","display_name":"Denis Harrington","profile_url":"https://independent.academia.edu/DenisHarrington?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_31500770 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31500770"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31500770, container: ".js-paper-rank-work_31500770", }); 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$(".js-view-count[data-work-id=31500770]").text(description); $(".js-view-count-work_31500770").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31500770").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31500770"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="37" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="39" rel="nofollow" href="https://www.academia.edu/Documents/in/Marketing">Marketing</a>, <script data-card-contents-for-ri="39" type="text/json">{"id":39,"name":"Marketing","url":"https://www.academia.edu/Documents/in/Marketing?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2969" rel="nofollow" href="https://www.academia.edu/Documents/in/Leadership">Leadership</a><script data-card-contents-for-ri="2969" type="text/json">{"id":2969,"name":"Leadership","url":"https://www.academia.edu/Documents/in/Leadership?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31500770]'), work: {"id":31500770,"title":"‘Embracing and Exploiting Industry Turbulence: The Strategic Transformation of Aer Lingus’. Denis Harrington, Thomas Lawton, Tazeeb Rajwani [European Management Journal 23(4) August, 2005.]","created_at":"2017-02-18T05:25:46.869-08:00","url":"https://www.academia.edu/31500770/_Embracing_and_Exploiting_Industry_Turbulence_The_Strategic_Transformation_of_Aer_Lingus_Denis_Harrington_Thomas_Lawton_Tazeeb_Rajwani_European_Management_Journal_23_4_August_2005_?f_ri=2802","dom_id":"work_31500770","summary":null,"downloadable_attachments":[{"id":51848503,"asset_id":31500770,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":60273880,"first_name":"Denis","last_name":"Harrington","domain_name":"independent","page_name":"DenisHarrington","display_name":"Denis Harrington","profile_url":"https://independent.academia.edu/DenisHarrington?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=2802","nofollow":true},{"id":39,"name":"Marketing","url":"https://www.academia.edu/Documents/in/Marketing?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":2969,"name":"Leadership","url":"https://www.academia.edu/Documents/in/Leadership?f_ri=2802","nofollow":true},{"id":9401,"name":"Transformational Leadership","url":"https://www.academia.edu/Documents/in/Transformational_Leadership?f_ri=2802"},{"id":73149,"name":"Business and Management","url":"https://www.academia.edu/Documents/in/Business_and_Management?f_ri=2802"},{"id":353820,"name":"Turnaround Strategies","url":"https://www.academia.edu/Documents/in/Turnaround_Strategies?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_25365795" data-work_id="25365795" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/25365795/Fourth_order_velocity_statistics">Fourth-order velocity statistics</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">An investigation of several fourth-order velocity statistics is described. Whereas local isotropy and local scaling are applicable to structure functions expressible as averages of di erences of velocity, local isotropy and local scaling... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_25365795" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">An investigation of several fourth-order velocity statistics is described. Whereas local isotropy and local scaling are applicable to structure functions expressible as averages of di erences of velocity, local isotropy and local scaling are inapplicable to the structure functions that we study. Data from wind tunnel grid turbulence show the behavior of the fourth-order statistics for nearly isotropic turbulence. The scaling relations predicted by the joint Gaussian assumption (JGA) are considered, as are those from the statistical independence assumption (SIA). The basis of the JGA is that velocities at several points are joint Gaussian random variables, whereas the basis of the SIA is that locally averaged velocity is statistically independent of velocity di erence. The JGA and SIA relate fourth-order statistics to the second-order velocity structure function, as well as to the velocity covariance. For various fourth-order statistics, the predictions of the JGA and SIA are compared with data. These comparisons quantify how accurately our fourth-order statistics follow the scaling dependence on second-order velocity structure functions and on velocity covariance as predicted by the JGA and SIA. Our measured structure functions are in agreement with the scaling predicted by the SIA with no exceptions and with that predicted by the JGA with two exceptions. As is known, one exception is the structure function that obeys local isotropy [e.g., (u i − u i ) 4 ] (which the SIA does not predict). The other exceptions are called anomalous components [e.g., (u 2</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/25365795" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="cd17c2c56dc06b18cf8679ecaa729f51" rel="nofollow" data-download="{"attachment_id":45674685,"asset_id":25365795,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/45674685/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="25735941" href="https://independent.academia.edu/jameswilczak">james wilczak</a><script data-card-contents-for-user="25735941" type="text/json">{"id":25735941,"first_name":"james","last_name":"wilczak","domain_name":"independent","page_name":"jameswilczak","display_name":"james wilczak","profile_url":"https://independent.academia.edu/jameswilczak?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_25365795 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="25365795"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 25365795, container: ".js-paper-rank-work_25365795", }); 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Whereas local isotropy and local scaling are applicable to structure functions expressible as averages of di erences of velocity, local isotropy and local scaling are inapplicable to the structure functions that we study. Data from wind tunnel grid turbulence show the behavior of the fourth-order statistics for nearly isotropic turbulence. The scaling relations predicted by the joint Gaussian assumption (JGA) are considered, as are those from the statistical independence assumption (SIA). The basis of the JGA is that velocities at several points are joint Gaussian random variables, whereas the basis of the SIA is that locally averaged velocity is statistically independent of velocity di erence. The JGA and SIA relate fourth-order statistics to the second-order velocity structure function, as well as to the velocity covariance. For various fourth-order statistics, the predictions of the JGA and SIA are compared with data. These comparisons quantify how accurately our fourth-order statistics follow the scaling dependence on second-order velocity structure functions and on velocity covariance as predicted by the JGA and SIA. Our measured structure functions are in agreement with the scaling predicted by the SIA with no exceptions and with that predicted by the JGA with two exceptions. As is known, one exception is the structure function that obeys local isotropy [e.g., (u i − u i ) 4 ] (which the SIA does not predict). The other exceptions are called anomalous components [e.g., (u 2","downloadable_attachments":[{"id":45674685,"asset_id":25365795,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":25735941,"first_name":"james","last_name":"wilczak","domain_name":"independent","page_name":"jameswilczak","display_name":"james wilczak","profile_url":"https://independent.academia.edu/jameswilczak?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":16496,"name":"Fluid Dynamics","url":"https://www.academia.edu/Documents/in/Fluid_Dynamics?f_ri=2802","nofollow":true},{"id":49247,"name":"Higher Order Thinking","url":"https://www.academia.edu/Documents/in/Higher_Order_Thinking?f_ri=2802"},{"id":271367,"name":"Wind Tunnel","url":"https://www.academia.edu/Documents/in/Wind_Tunnel?f_ri=2802"},{"id":347272,"name":"Second Order","url":"https://www.academia.edu/Documents/in/Second_Order?f_ri=2802"},{"id":530920,"name":"Scale dependence","url":"https://www.academia.edu/Documents/in/Scale_dependence?f_ri=2802"},{"id":554780,"name":"Interdisciplinary Engineering","url":"https://www.academia.edu/Documents/in/Interdisciplinary_Engineering?f_ri=2802"},{"id":1011864,"name":"Structure Function","url":"https://www.academia.edu/Documents/in/Structure_Function?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_22746481" data-work_id="22746481" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/22746481/Three_dimensional_structure_of_flow_at_a_confluence_of_river_channels_with_discordant_beds">Three-dimensional structure of flow at a confluence of river channels with discordant beds</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents three-dimensional data of the mean and turbulent structure of flow collected at a natural confluence Ž . Ž . of rivers with discordant beds to 1 describe the three-dimensional flow field of a natural junction of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_22746481" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents three-dimensional data of the mean and turbulent structure of flow collected at a natural confluence Ž . Ž . of rivers with discordant beds to 1 describe the three-dimensional flow field of a natural junction of channels; 2 assess the role of changes in bed morphology occurring during transport-effective events on the structure of flow at a confluence; and Ž . 3 examine how the three-dimensional structure of flow varies with changes in the ratio of momentum flux between the two confluent streams. Three-dimensional measurements of velocity were reconstructed from the measurements obtained with an array of four, two-component electromagnetic current meters. Six detailed velocity profiles were taken at five cross-sections Ž . in a wide range of flow conditions. The mean field of flow is characterised by 1 the acceleration of flow in the downstream Ž . portion of the post-confluence channel, but by lower velocities upstream in the mixing layer area; 2 a stagnation zone at the Ž . apex of the junction; 3 a zone of flow deviation, and strong fluid upwelling, close to the avalanche face and at the margin Ž . of the tributary mouth bar; and 4 reduced velocities over the depositional bar at the downstream junction corner. The Ž position and extent of these zones vary with changes in the ratio of momentum flux. Very high intensity of turbulence peaks . up to 50% and turbulent kinetic energy were observed in the mixing layer region. Distortion of the mixing layer, characteristic of flow where bed discordance is present between the two tributary channels, was evident from mean and turbulent flow data. This field study suggests that the effects of bed discordance on flow, sediment transport, and the resultant bed morphology must be incorporated into conceptual and numeric models of these sites of complex flow. q response of braided rivers to changes in flow stage ŽAshmore, 1993; , the dynamics of the drainage network-scale Ž . Rhoads, 1996 , and the rates of flow and sediment Ž mixing .</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/22746481" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fcca574d68b952a026939cce4ba09cdd" rel="nofollow" data-download="{"attachment_id":43310431,"asset_id":22746481,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43310431/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="34625790" href="https://concordia.academia.edu/httpwwwconcordiacaartscigeographyplanningenvironmentfacultyhtmlfpidpascalebiron">Pascale Biron</a><script data-card-contents-for-user="34625790" type="text/json">{"id":34625790,"first_name":"Pascale","last_name":"Biron","domain_name":"concordia","page_name":"httpwwwconcordiacaartscigeographyplanningenvironmentfacultyhtmlfpidpascalebiron","display_name":"Pascale Biron","profile_url":"https://concordia.academia.edu/httpwwwconcordiacaartscigeographyplanningenvironmentfacultyhtmlfpidpascalebiron?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_22746481 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="22746481"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 22746481, container: ".js-paper-rank-work_22746481", }); });</script></li><li class="js-percentile-work_22746481 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22746481; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_22746481"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_22746481 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="22746481"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22746481; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22746481]").text(description); $(".js-view-count-work_22746481").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_22746481").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="22746481"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="406" rel="nofollow" href="https://www.academia.edu/Documents/in/Geology">Geology</a>, <script data-card-contents-for-ri="406" type="text/json">{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="408" rel="nofollow" href="https://www.academia.edu/Documents/in/Geomorphology">Geomorphology</a>, <script data-card-contents-for-ri="408" type="text/json">{"id":408,"name":"Geomorphology","url":"https://www.academia.edu/Documents/in/Geomorphology?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="113501" rel="nofollow" href="https://www.academia.edu/Documents/in/Sediment_transport">Sediment transport</a><script data-card-contents-for-ri="113501" type="text/json">{"id":113501,"name":"Sediment transport","url":"https://www.academia.edu/Documents/in/Sediment_transport?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=22746481]'), work: {"id":22746481,"title":"Three-dimensional structure of flow at a confluence of river channels with discordant beds","created_at":"2016-03-03T05:39:03.208-08:00","url":"https://www.academia.edu/22746481/Three_dimensional_structure_of_flow_at_a_confluence_of_river_channels_with_discordant_beds?f_ri=2802","dom_id":"work_22746481","summary":"This paper presents three-dimensional data of the mean and turbulent structure of flow collected at a natural confluence Ž . Ž . of rivers with discordant beds to 1 describe the three-dimensional flow field of a natural junction of channels; 2 assess the role of changes in bed morphology occurring during transport-effective events on the structure of flow at a confluence; and Ž . 3 examine how the three-dimensional structure of flow varies with changes in the ratio of momentum flux between the two confluent streams. Three-dimensional measurements of velocity were reconstructed from the measurements obtained with an array of four, two-component electromagnetic current meters. Six detailed velocity profiles were taken at five cross-sections Ž . in a wide range of flow conditions. The mean field of flow is characterised by 1 the acceleration of flow in the downstream Ž . portion of the post-confluence channel, but by lower velocities upstream in the mixing layer area; 2 a stagnation zone at the Ž . apex of the junction; 3 a zone of flow deviation, and strong fluid upwelling, close to the avalanche face and at the margin Ž . of the tributary mouth bar; and 4 reduced velocities over the depositional bar at the downstream junction corner. The Ž position and extent of these zones vary with changes in the ratio of momentum flux. Very high intensity of turbulence peaks . up to 50% and turbulent kinetic energy were observed in the mixing layer region. Distortion of the mixing layer, characteristic of flow where bed discordance is present between the two tributary channels, was evident from mean and turbulent flow data. This field study suggests that the effects of bed discordance on flow, sediment transport, and the resultant bed morphology must be incorporated into conceptual and numeric models of these sites of complex flow. q response of braided rivers to changes in flow stage ŽAshmore, 1993; , the dynamics of the drainage network-scale Ž . Rhoads, 1996 , and the rates of flow and sediment Ž mixing .","downloadable_attachments":[{"id":43310431,"asset_id":22746481,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":34625790,"first_name":"Pascale","last_name":"Biron","domain_name":"concordia","page_name":"httpwwwconcordiacaartscigeographyplanningenvironmentfacultyhtmlfpidpascalebiron","display_name":"Pascale Biron","profile_url":"https://concordia.academia.edu/httpwwwconcordiacaartscigeographyplanningenvironmentfacultyhtmlfpidpascalebiron?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology?f_ri=2802","nofollow":true},{"id":408,"name":"Geomorphology","url":"https://www.academia.edu/Documents/in/Geomorphology?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":113501,"name":"Sediment transport","url":"https://www.academia.edu/Documents/in/Sediment_transport?f_ri=2802","nofollow":true},{"id":171114,"name":"Turbulent Flow","url":"https://www.academia.edu/Documents/in/Turbulent_Flow?f_ri=2802"},{"id":239810,"name":"Field Study","url":"https://www.academia.edu/Documents/in/Field_Study?f_ri=2802"},{"id":404000,"name":"Cross Section","url":"https://www.academia.edu/Documents/in/Cross_Section?f_ri=2802"},{"id":468734,"name":"Turbulent Mixing","url":"https://www.academia.edu/Documents/in/Turbulent_Mixing?f_ri=2802"},{"id":497452,"name":"Numerical Model","url":"https://www.academia.edu/Documents/in/Numerical_Model?f_ri=2802"},{"id":504035,"name":"Three Dimensional","url":"https://www.academia.edu/Documents/in/Three_Dimensional?f_ri=2802"},{"id":620328,"name":"Sediment Transport","url":"https://www.academia.edu/Documents/in/Sediment_Transport-5?f_ri=2802"},{"id":875419,"name":"Velocity Profile","url":"https://www.academia.edu/Documents/in/Velocity_Profile?f_ri=2802"},{"id":1411878,"name":"Turbulent Kinetic Energy","url":"https://www.academia.edu/Documents/in/Turbulent_Kinetic_Energy?f_ri=2802"},{"id":1565116,"name":"Mixed layer","url":"https://www.academia.edu/Documents/in/Mixed_layer?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_47650392" data-work_id="47650392" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/47650392/Probability_density_functions_of_power_in_bucket_and_power_in_fiber_for_an_infrared_laser_beam_propagating_in_the_maritime_environment">Probability density functions of power-in-bucket and power-in-fiber for an infrared laser beam propagating in the maritime environment</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Irradiance fluctuations of an infrared laser beam from a shore-to-ship data link ranging from 5.1 to 17.8 km are compared to lognormal (LN), gamma-gamma (GG) with aperture averaging, and gamma-Laguerre (GL) distributions. From our data... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_47650392" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Irradiance fluctuations of an infrared laser beam from a shore-to-ship data link ranging from 5.1 to 17.8 km are compared to lognormal (LN), gamma-gamma (GG) with aperture averaging, and gamma-Laguerre (GL) distributions. From our data analysis, the LN and GG probability density function (PDF) models were generally in good agreement in near-weak to moderate fluctuations. This was also true in moderate to strong fluctuations when the spatial coherence radius was smaller than the detector aperture size, with the exception of the 2.54 cm power-in-bucket (PIB) where the LN PDF model fit best. For moderate to strong fluctuations, the GG PDF model tended to outperform the LN PDF model when the spatial coherence radius was greater than the detector aperture size. Additionally, the GL PDF model had the best or next to best overall fit in all cases with the exception of the 2.54 cm PIB where the scintillation index was highest. The GL PDF model also appears to be robust for off-of-beam cente...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/47650392" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2f8340fcd3e0ce0b27ea4c0a46055171" rel="nofollow" data-download="{"attachment_id":66633590,"asset_id":47650392,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/66633590/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="186651276" href="https://independent.academia.edu/SvetlanaAvramovZamurovic">Svetlana Avramov-Zamurovic</a><script data-card-contents-for-user="186651276" type="text/json">{"id":186651276,"first_name":"Svetlana","last_name":"Avramov-Zamurovic","domain_name":"independent","page_name":"SvetlanaAvramovZamurovic","display_name":"Svetlana Avramov-Zamurovic","profile_url":"https://independent.academia.edu/SvetlanaAvramovZamurovic?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_47650392 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="47650392"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 47650392, container: ".js-paper-rank-work_47650392", }); });</script></li><li class="js-percentile-work_47650392 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 47650392; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_47650392"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_47650392 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="47650392"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 47650392; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=47650392]").text(description); $(".js-view-count-work_47650392").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_47650392").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="47650392"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="60" rel="nofollow" href="https://www.academia.edu/Documents/in/Mechanical_Engineering">Mechanical Engineering</a>, <script data-card-contents-for-ri="60" type="text/json">{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="40482" rel="nofollow" href="https://www.academia.edu/Documents/in/FREE_SPACE_OPTICAL_COMMUNICATION">FREE SPACE OPTICAL COMMUNICATION</a>, <script data-card-contents-for-ri="40482" type="text/json">{"id":40482,"name":"FREE SPACE OPTICAL COMMUNICATION","url":"https://www.academia.edu/Documents/in/FREE_SPACE_OPTICAL_COMMUNICATION?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="234350" rel="nofollow" href="https://www.academia.edu/Documents/in/Applied_Optics">Applied Optics</a><script data-card-contents-for-ri="234350" type="text/json">{"id":234350,"name":"Applied Optics","url":"https://www.academia.edu/Documents/in/Applied_Optics?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=47650392]'), work: {"id":47650392,"title":"Probability density functions of power-in-bucket and power-in-fiber for an infrared laser beam propagating in the maritime environment","created_at":"2021-04-23T11:46:56.630-07:00","url":"https://www.academia.edu/47650392/Probability_density_functions_of_power_in_bucket_and_power_in_fiber_for_an_infrared_laser_beam_propagating_in_the_maritime_environment?f_ri=2802","dom_id":"work_47650392","summary":"Irradiance fluctuations of an infrared laser beam from a shore-to-ship data link ranging from 5.1 to 17.8 km are compared to lognormal (LN), gamma-gamma (GG) with aperture averaging, and gamma-Laguerre (GL) distributions. From our data analysis, the LN and GG probability density function (PDF) models were generally in good agreement in near-weak to moderate fluctuations. This was also true in moderate to strong fluctuations when the spatial coherence radius was smaller than the detector aperture size, with the exception of the 2.54 cm power-in-bucket (PIB) where the LN PDF model fit best. For moderate to strong fluctuations, the GG PDF model tended to outperform the LN PDF model when the spatial coherence radius was greater than the detector aperture size. Additionally, the GL PDF model had the best or next to best overall fit in all cases with the exception of the 2.54 cm PIB where the scintillation index was highest. The GL PDF model also appears to be robust for off-of-beam cente...","downloadable_attachments":[{"id":66633590,"asset_id":47650392,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":186651276,"first_name":"Svetlana","last_name":"Avramov-Zamurovic","domain_name":"independent","page_name":"SvetlanaAvramovZamurovic","display_name":"Svetlana Avramov-Zamurovic","profile_url":"https://independent.academia.edu/SvetlanaAvramovZamurovic?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":40482,"name":"FREE SPACE OPTICAL COMMUNICATION","url":"https://www.academia.edu/Documents/in/FREE_SPACE_OPTICAL_COMMUNICATION?f_ri=2802","nofollow":true},{"id":234350,"name":"Applied Optics","url":"https://www.academia.edu/Documents/in/Applied_Optics?f_ri=2802","nofollow":true},{"id":263152,"name":"Optical physics","url":"https://www.academia.edu/Documents/in/Optical_physics?f_ri=2802"},{"id":1237788,"name":"Electrical And Electronic Engineering","url":"https://www.academia.edu/Documents/in/Electrical_And_Electronic_Engineering?f_ri=2802"},{"id":1582189,"name":"Scintillation","url":"https://www.academia.edu/Documents/in/Scintillation?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_28378976" data-work_id="28378976" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/28378976/Numerical_simulation_and_experimental_analysis_of_an_industrial_glass_melting_furnace">Numerical simulation and experimental analysis of an industrial glass melting furnace</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents a three dimensional study of a gas-fired, regenerative, side-port glass melting furnace. The furnace is divided into three regions: combustion space, glass tank and batch blanket. The combustion space is simulated... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28378976" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents a three dimensional study of a gas-fired, regenerative, side-port glass melting furnace. The furnace is divided into three regions: combustion space, glass tank and batch blanket. The combustion space is simulated separately, while the glass tank and the batch blanket are coupled together as a whole. To couple the three regions, a new method is proposed that is more flexible and faster than the existing conventional methods. The melting process of the batch blanket, the natural convection vortices of the glass tank and the turbulence and the chemical reactions of the combustion space are all simulated. The simulation was preformed using Gambit-2 and Fluent-6 software. The calculated temperatures are compared with actual values measured at different locations on the furnace surfaces. Results indicate that the maximum relative error is less than 7.6%. This work can form the basis for the parametric analysis of the furnace to reduce its fuel consumption.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28378976" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="45efaaad01fc091cea5e33b462a01a22" rel="nofollow" data-download="{"attachment_id":48713161,"asset_id":28378976,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48713161/download_file?st=MTc0MDE3NTM4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="53153995" href="https://independent.academia.edu/MiltonLima9">Milton Lima</a><script data-card-contents-for-user="53153995" type="text/json">{"id":53153995,"first_name":"Milton","last_name":"Lima","domain_name":"independent","page_name":"MiltonLima9","display_name":"Milton Lima","profile_url":"https://independent.academia.edu/MiltonLima9?f_ri=2802","photo":"https://0.academia-photos.com/53153995/21426473/20817672/s65_milton.lima.jpg"}</script></span></span></li><li class="js-paper-rank-work_28378976 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="28378976"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 28378976, container: ".js-paper-rank-work_28378976", }); 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The furnace is divided into three regions: combustion space, glass tank and batch blanket. The combustion space is simulated separately, while the glass tank and the batch blanket are coupled together as a whole. To couple the three regions, a new method is proposed that is more flexible and faster than the existing conventional methods. The melting process of the batch blanket, the natural convection vortices of the glass tank and the turbulence and the chemical reactions of the combustion space are all simulated. The simulation was preformed using Gambit-2 and Fluent-6 software. The calculated temperatures are compared with actual values measured at different locations on the furnace surfaces. Results indicate that the maximum relative error is less than 7.6%. This work can form the basis for the parametric analysis of the furnace to reduce its fuel consumption.","downloadable_attachments":[{"id":48713161,"asset_id":28378976,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":53153995,"first_name":"Milton","last_name":"Lima","domain_name":"independent","page_name":"MiltonLima9","display_name":"Milton Lima","profile_url":"https://independent.academia.edu/MiltonLima9?f_ri=2802","photo":"https://0.academia-photos.com/53153995/21426473/20817672/s65_milton.lima.jpg"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":6263,"name":"Combustion","url":"https://www.academia.edu/Documents/in/Combustion?f_ri=2802","nofollow":true},{"id":48636,"name":"Simulation","url":"https://www.academia.edu/Documents/in/Simulation?f_ri=2802","nofollow":true},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802"},{"id":100257,"name":"Natural Convection","url":"https://www.academia.edu/Documents/in/Natural_Convection?f_ri=2802"},{"id":431154,"name":"Fuel Consumption","url":"https://www.academia.edu/Documents/in/Fuel_Consumption?f_ri=2802"},{"id":447209,"name":"Coupling","url":"https://www.academia.edu/Documents/in/Coupling?f_ri=2802"},{"id":504035,"name":"Three Dimensional","url":"https://www.academia.edu/Documents/in/Three_Dimensional?f_ri=2802"},{"id":539878,"name":"Chemical Reaction","url":"https://www.academia.edu/Documents/in/Chemical_Reaction?f_ri=2802"},{"id":554780,"name":"Interdisciplinary Engineering","url":"https://www.academia.edu/Documents/in/Interdisciplinary_Engineering?f_ri=2802"},{"id":641466,"name":"Applied Thermal Engineering","url":"https://www.academia.edu/Documents/in/Applied_Thermal_Engineering?f_ri=2802"},{"id":1260007,"name":"Experimental Analysis","url":"https://www.academia.edu/Documents/in/Experimental_Analysis?f_ri=2802"},{"id":1769725,"name":"Parametric analysis","url":"https://www.academia.edu/Documents/in/Parametric_analysis?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3480167 coauthored" data-work_id="3480167" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/3480167/Decay_of_Pressure_and_Energy_Dissipation_in_Laminar_Transient_Flow">Decay of Pressure and Energy Dissipation in Laminar Transient Flow</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In the present paper, some peculiar characteristics of transient laminar flow are discussed. After presenting a review of the existing literature, attention is focused on transient energy dissipation phenomena. Specifically, results of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3480167" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In the present paper, some peculiar characteristics of transient laminar flow are discussed. After presenting a review of the existing literature, attention is focused on transient energy dissipation phenomena. Specifically, results of both laboratory and numerical experiments are reported, the latter by considering one-dimensional (1D) along with two-dimensional (2D) models. The need of modifying a criterion for simulating unsteady friction proposed some years ago by one of the writers, and extensively used for waterhammer calculations, is pointed out. Differences between accelerating and decelerating flows as well as between transients in metallic and plastic pipes are also highlighted.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3480167" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f1dfb6442bd643d0ce9eb6845c0d1bbc" rel="nofollow" data-download="{"attachment_id":50267315,"asset_id":3480167,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50267315/download_file?st=MTc0MDE3NTM5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2657691" href="https://unipg.academia.edu/MarcoFerrante">Marco Ferrante</a><script data-card-contents-for-user="2657691" type="text/json">{"id":2657691,"first_name":"Marco","last_name":"Ferrante","domain_name":"unipg","page_name":"MarcoFerrante","display_name":"Marco Ferrante","profile_url":"https://unipg.academia.edu/MarcoFerrante?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-3480167">+1</span><div class="hidden js-additional-users-3480167"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://unnipg.academia.edu/BrunoBrunone">Bruno Brunone</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-3480167'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-3480167').html(); 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After presenting a review of the existing literature, attention is focused on transient energy dissipation phenomena. Specifically, results of both laboratory and numerical experiments are reported, the latter by considering one-dimensional (1D) along with two-dimensional (2D) models. The need of modifying a criterion for simulating unsteady friction proposed some years ago by one of the writers, and extensively used for waterhammer calculations, is pointed out. Differences between accelerating and decelerating flows as well as between transients in metallic and plastic pipes are also highlighted.","downloadable_attachments":[{"id":50267315,"asset_id":3480167,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2657691,"first_name":"Marco","last_name":"Ferrante","domain_name":"unipg","page_name":"MarcoFerrante","display_name":"Marco Ferrante","profile_url":"https://unipg.academia.edu/MarcoFerrante?f_ri=2802","photo":"/images/s65_no_pic.png"},{"id":33272381,"first_name":"Bruno","last_name":"Brunone","domain_name":"unnipg","page_name":"BrunoBrunone","display_name":"Bruno Brunone","profile_url":"https://unnipg.academia.edu/BrunoBrunone?f_ri=2802","photo":"https://0.academia-photos.com/33272381/133027220/122454481/s65_bruno.brunone.jpg"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=2802","nofollow":true},{"id":2383,"name":"Viscoelasticity","url":"https://www.academia.edu/Documents/in/Viscoelasticity?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":5412,"name":"Energy","url":"https://www.academia.edu/Documents/in/Energy?f_ri=2802","nofollow":true},{"id":176527,"name":"Laminar Flow","url":"https://www.academia.edu/Documents/in/Laminar_Flow?f_ri=2802"},{"id":188256,"name":"Pipe Flow","url":"https://www.academia.edu/Documents/in/Pipe_Flow?f_ri=2802"},{"id":222949,"name":"Dissipation","url":"https://www.academia.edu/Documents/in/Dissipation?f_ri=2802"},{"id":232858,"name":"Energy Dissipation","url":"https://www.academia.edu/Documents/in/Energy_Dissipation?f_ri=2802"},{"id":249904,"name":"Transient","url":"https://www.academia.edu/Documents/in/Transient?f_ri=2802"},{"id":284883,"name":"Laminar","url":"https://www.academia.edu/Documents/in/Laminar?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5899817" data-work_id="5899817" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5899817/Remote_detection_and_diagnosis_of_thunderstorm_turbulence">Remote detection and diagnosis of thunderstorm turbulence</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper describes how operational radar, satellite and lightning data may be used in conjunction with numerical weather model data to provide remote detection and diagnosis of atmospheric turbulence in and around thunderstorms.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5899817" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper describes how operational radar, satellite and lightning data may be used in conjunction with numerical weather model data to provide remote detection and diagnosis of atmospheric turbulence in and around thunderstorms. In-cloud turbulence is measured with the NEXRAD Turbulence Detection Algorithm (NTDA) using extensively qualitycontrolled, ground-based Doppler radar data. A real-time demonstration of the NTDA includes generation of a 3-D turbulence mosaic covering the CONUS east of the Rocky Mountains, a web-based display, and experimental uplinks of turbulence maps to en-route commercial aircraft. Near-cloud turbulence is inferred from thunderstorm morphology, intensity, growth rate and environment data provided by (1) satellite radiance measurements, rates of change, winds, and other derived features, (2) lightning strike measurements, (3) radar reflectivity measurements and (4) weather model data. These are combined via a machine learning technique trained using a database of in situ turbulence measurements from commercial aircraft to create a predictive model. This new capability is being developed under FAA and NASA funding to enhance current U.S. and international turbulence decision support systems, allowing rapid-update, highresolution, comprehensive assessments of atmospheric turbulence hazards for use by pilots, dispatchers, and air traffic controllers. It will also contribute to the comprehensive 4-D weather information database for NextGen.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5899817" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e653b2ec3f4578831b5003f0d1e66ea6" rel="nofollow" data-download="{"attachment_id":49095987,"asset_id":5899817,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49095987/download_file?st=MTc0MDE3NTM5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8743752" href="https://independent.academia.edu/craigjason">jason craig</a><script data-card-contents-for-user="8743752" type="text/json">{"id":8743752,"first_name":"jason","last_name":"craig","domain_name":"independent","page_name":"craigjason","display_name":"jason craig","profile_url":"https://independent.academia.edu/craigjason?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5899817 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5899817"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5899817, container: ".js-paper-rank-work_5899817", }); });</script></li><li class="js-percentile-work_5899817 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5899817; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5899817"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5899817 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5899817"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5899817; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5899817]").text(description); $(".js-view-count-work_5899817").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5899817").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5899817"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">24</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="428" rel="nofollow" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1252" rel="nofollow" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2008" rel="nofollow" href="https://www.academia.edu/Documents/in/Machine_Learning">Machine Learning</a>, <script data-card-contents-for-ri="2008" type="text/json">{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a><script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5899817]'), work: {"id":5899817,"title":"Remote detection and diagnosis of thunderstorm turbulence","created_at":"2014-01-31T01:44:39.636-08:00","url":"https://www.academia.edu/5899817/Remote_detection_and_diagnosis_of_thunderstorm_turbulence?f_ri=2802","dom_id":"work_5899817","summary":"This paper describes how operational radar, satellite and lightning data may be used in conjunction with numerical weather model data to provide remote detection and diagnosis of atmospheric turbulence in and around thunderstorms. In-cloud turbulence is measured with the NEXRAD Turbulence Detection Algorithm (NTDA) using extensively qualitycontrolled, ground-based Doppler radar data. A real-time demonstration of the NTDA includes generation of a 3-D turbulence mosaic covering the CONUS east of the Rocky Mountains, a web-based display, and experimental uplinks of turbulence maps to en-route commercial aircraft. Near-cloud turbulence is inferred from thunderstorm morphology, intensity, growth rate and environment data provided by (1) satellite radiance measurements, rates of change, winds, and other derived features, (2) lightning strike measurements, (3) radar reflectivity measurements and (4) weather model data. These are combined via a machine learning technique trained using a database of in situ turbulence measurements from commercial aircraft to create a predictive model. This new capability is being developed under FAA and NASA funding to enhance current U.S. and international turbulence decision support systems, allowing rapid-update, highresolution, comprehensive assessments of atmospheric turbulence hazards for use by pilots, dispatchers, and air traffic controllers. It will also contribute to the comprehensive 4-D weather information database for NextGen.","downloadable_attachments":[{"id":49095987,"asset_id":5899817,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8743752,"first_name":"jason","last_name":"craig","domain_name":"independent","page_name":"craigjason","display_name":"jason craig","profile_url":"https://independent.academia.edu/craigjason?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=2802","nofollow":true},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=2802","nofollow":true},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=2802","nofollow":true},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":10075,"name":"Decision Support Systems","url":"https://www.academia.edu/Documents/in/Decision_Support_Systems?f_ri=2802"},{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=2802"},{"id":32149,"name":"Numerical Method","url":"https://www.academia.edu/Documents/in/Numerical_Method?f_ri=2802"},{"id":45874,"name":"Decision support system","url":"https://www.academia.edu/Documents/in/Decision_support_system?f_ri=2802"},{"id":102883,"name":"Real Time Systems","url":"https://www.academia.edu/Documents/in/Real_Time_Systems?f_ri=2802"},{"id":109198,"name":"Lightning","url":"https://www.academia.edu/Documents/in/Lightning?f_ri=2802"},{"id":117735,"name":"Atmospheric Turbulence","url":"https://www.academia.edu/Documents/in/Atmospheric_Turbulence?f_ri=2802"},{"id":146042,"name":"Weather","url":"https://www.academia.edu/Documents/in/Weather?f_ri=2802"},{"id":149081,"name":"Decision Support","url":"https://www.academia.edu/Documents/in/Decision_Support?f_ri=2802"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=2802"},{"id":184736,"name":"Thunderstorms","url":"https://www.academia.edu/Documents/in/Thunderstorms?f_ri=2802"},{"id":224767,"name":"Prediction Model","url":"https://www.academia.edu/Documents/in/Prediction_Model?f_ri=2802"},{"id":229390,"name":"Real Time","url":"https://www.academia.edu/Documents/in/Real_Time?f_ri=2802"},{"id":304602,"name":"Rocky Mountains","url":"https://www.academia.edu/Documents/in/Rocky_Mountains?f_ri=2802"},{"id":521099,"name":"Doppler effect","url":"https://www.academia.edu/Documents/in/Doppler_effect?f_ri=2802"},{"id":533274,"name":"Growth rate","url":"https://www.academia.edu/Documents/in/Growth_rate?f_ri=2802"},{"id":800990,"name":"Reflectivity","url":"https://www.academia.edu/Documents/in/Reflectivity?f_ri=2802"},{"id":1174391,"name":"Atmospheric Optics","url":"https://www.academia.edu/Documents/in/Atmospheric_Optics?f_ri=2802"},{"id":1270243,"name":"Doppler Radar","url":"https://www.academia.edu/Documents/in/Doppler_Radar?f_ri=2802"},{"id":2263670,"name":"Detection Algorithm","url":"https://www.academia.edu/Documents/in/Detection_Algorithm?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_27869940" data-work_id="27869940" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/27869940/Large_eddy_simulation_of_backward_facing_step_flow">Large eddy simulation of backward-facing step flow</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The paper describes the implementation and applicability of the Large eddy simulation (LES) technique for simulating turbulent flows. The LES approach is implemented in the in-house RANS research code Spider-3D. The Spider-LES code is... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_27869940" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The paper describes the implementation and applicability of the Large eddy simulation (LES) technique for simulating turbulent flows. The LES approach is implemented in the in-house RANS research code Spider-3D. The Spider-LES code is validated by studying the unsteady flow over a backward-facing step (BFS). The LES simulation over the BFS is carried out at a Reynolds number of 5100 based on the inlet free-stream velocity. Finite-volume discretization schemes for the non-linear convective terms and sub-grid stress (SGS) models used for LES approach are discussed in the present study. To investigate mesh dependency, two types of grid resolution are studied. The results computed from Spider-LES are validated against DNS reference data by Le et al. The mean longitudinal, vertical velocity profile and the turbulence intensities compare satisfactory with the DNS data at the normalized coordinates X * = (x − X r ) /X r . The reattachment length X r in the longitudinal direction, varies from 7.2h to 7.4h with different SGS models used as compared to the DNS value of 6.28h.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/27869940" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e80c6387e18116e605335d8d816a191c" rel="nofollow" data-download="{"attachment_id":48154108,"asset_id":27869940,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48154108/download_file?st=MTc0MDE3NTM5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="52220146" href="https://independent.academia.edu/KjellRian">Kjell Rian</a><script data-card-contents-for-user="52220146" type="text/json">{"id":52220146,"first_name":"Kjell","last_name":"Rian","domain_name":"independent","page_name":"KjellRian","display_name":"Kjell Rian","profile_url":"https://independent.academia.edu/KjellRian?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_27869940 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="27869940"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 27869940, container: ".js-paper-rank-work_27869940", }); });</script></li><li class="js-percentile-work_27869940 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 27869940; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_27869940"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_27869940 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="27869940"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 27869940; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=27869940]").text(description); $(".js-view-count-work_27869940").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_27869940").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="27869940"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">15</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2802" rel="nofollow" href="https://www.academia.edu/Documents/in/Turbulence">Turbulence</a>, <script data-card-contents-for-ri="2802" type="text/json">{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="10717" rel="nofollow" href="https://www.academia.edu/Documents/in/Large_Eddy_Simulation">Large Eddy Simulation</a>, <script data-card-contents-for-ri="10717" type="text/json">{"id":10717,"name":"Large Eddy Simulation","url":"https://www.academia.edu/Documents/in/Large_Eddy_Simulation?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="60658" rel="nofollow" href="https://www.academia.edu/Documents/in/Numerical_Simulation">Numerical Simulation</a>, <script data-card-contents-for-ri="60658" type="text/json">{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="152690" rel="nofollow" href="https://www.academia.edu/Documents/in/Boundary_Conditions">Boundary Conditions</a><script data-card-contents-for-ri="152690" type="text/json">{"id":152690,"name":"Boundary Conditions","url":"https://www.academia.edu/Documents/in/Boundary_Conditions?f_ri=2802","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=27869940]'), work: {"id":27869940,"title":"Large eddy simulation of backward-facing step flow","created_at":"2016-08-18T11:04:31.703-07:00","url":"https://www.academia.edu/27869940/Large_eddy_simulation_of_backward_facing_step_flow?f_ri=2802","dom_id":"work_27869940","summary":"The paper describes the implementation and applicability of the Large eddy simulation (LES) technique for simulating turbulent flows. The LES approach is implemented in the in-house RANS research code Spider-3D. The Spider-LES code is validated by studying the unsteady flow over a backward-facing step (BFS). The LES simulation over the BFS is carried out at a Reynolds number of 5100 based on the inlet free-stream velocity. Finite-volume discretization schemes for the non-linear convective terms and sub-grid stress (SGS) models used for LES approach are discussed in the present study. To investigate mesh dependency, two types of grid resolution are studied. The results computed from Spider-LES are validated against DNS reference data by Le et al. The mean longitudinal, vertical velocity profile and the turbulence intensities compare satisfactory with the DNS data at the normalized coordinates X * = (x − X r ) /X r . The reattachment length X r in the longitudinal direction, varies from 7.2h to 7.4h with different SGS models used as compared to the DNS value of 6.28h.","downloadable_attachments":[{"id":48154108,"asset_id":27869940,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":52220146,"first_name":"Kjell","last_name":"Rian","domain_name":"independent","page_name":"KjellRian","display_name":"Kjell Rian","profile_url":"https://independent.academia.edu/KjellRian?f_ri=2802","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence?f_ri=2802","nofollow":true},{"id":10717,"name":"Large Eddy Simulation","url":"https://www.academia.edu/Documents/in/Large_Eddy_Simulation?f_ri=2802","nofollow":true},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation?f_ri=2802","nofollow":true},{"id":152690,"name":"Boundary Conditions","url":"https://www.academia.edu/Documents/in/Boundary_Conditions?f_ri=2802","nofollow":true},{"id":153240,"name":"Reference Data","url":"https://www.academia.edu/Documents/in/Reference_Data?f_ri=2802"},{"id":168911,"name":"STEP","url":"https://www.academia.edu/Documents/in/STEP?f_ri=2802"},{"id":171114,"name":"Turbulent Flow","url":"https://www.academia.edu/Documents/in/Turbulent_Flow?f_ri=2802"},{"id":188256,"name":"Pipe Flow","url":"https://www.academia.edu/Documents/in/Pipe_Flow?f_ri=2802"},{"id":215076,"name":"Fluid flow","url":"https://www.academia.edu/Documents/in/Fluid_flow?f_ri=2802"},{"id":332277,"name":"Finite Volume","url":"https://www.academia.edu/Documents/in/Finite_Volume?f_ri=2802"},{"id":556671,"name":"Turbulent Diffusion","url":"https://www.academia.edu/Documents/in/Turbulent_Diffusion?f_ri=2802"},{"id":867022,"name":"Boundary Condition","url":"https://www.academia.edu/Documents/in/Boundary_Condition?f_ri=2802"},{"id":875419,"name":"Velocity Profile","url":"https://www.academia.edu/Documents/in/Velocity_Profile?f_ri=2802"},{"id":981786,"name":"Large Eddy Simulation(LES)","url":"https://www.academia.edu/Documents/in/Large_Eddy_Simulation_LES_-1?f_ri=2802"},{"id":1008960,"name":"Reynolds Number","url":"https://www.academia.edu/Documents/in/Reynolds_Number?f_ri=2802"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_61629773" data-work_id="61629773" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/61629773/Large_eddy_simulation_of_turbulent_cavitating_flow_in_a_micro_channel">Large-eddy simulation of turbulent cavitating flow in a micro channel</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Large-eddy simulations (LES) of cavitating flow of a Diesel fuel-like fluid in a generic throttle geometry are presented. Two-phase regions are modeled by a parameter-free thermodynamic equilibrium mixture model, and compressibility of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_61629773" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Large-eddy simulations (LES) of cavitating flow of a Diesel fuel-like fluid in a generic throttle geometry are presented. Two-phase regions are modeled by a parameter-free thermodynamic equilibrium mixture model, and compressibility of the liquid and the liquid-vapor mixture is taken into account. The Adaptive Local Deconvolution Method (ALDM), adapted for cavitating flows, is employed for discretizing the convective terms of the Navier-Stokes equations for the homogeneous mixture. ALDM is a finite-volume-based implicit LES approach that merges physically motivated turbulence modeling and numerical discretization. Validation of the numerical method is performed for a turbulent cavitating mixing layer. Comparisons with experimental data of the throttle flow at two different operating conditions are presented. The LES with the employed cavitation modeling predicts relevant flow and cavitation features accurately within the uncertainty range of the experiment. The turbulence structure of the flow is further analyzed with an emphasis on the interaction between cavitation and coherent motion, and on the statistically-averaged-flow evolution.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/61629773" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2b235fae383d18bdf55901746512031f" rel="nofollow" data-download="{"attachment_id":74606478,"asset_id":61629773,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74606478/download_file?st=MTc0MDE3NTM5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="80562949" href="https://independent.academia.edu/StefanHickel">Stefan Hickel</a><script data-card-contents-for-user="80562949" type="text/json">{"id":80562949,"first_name":"Stefan","last_name":"Hickel","domain_name":"independent","page_name":"StefanHickel","display_name":"Stefan Hickel","profile_url":"https://independent.academia.edu/StefanHickel?f_ri=2802","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_61629773 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="61629773"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 61629773, container: ".js-paper-rank-work_61629773", }); 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Two-phase regions are modeled by a parameter-free thermodynamic equilibrium mixture model, and compressibility of the liquid and the liquid-vapor mixture is taken into account. The Adaptive Local Deconvolution Method (ALDM), adapted for cavitating flows, is employed for discretizing the convective terms of the Navier-Stokes equations for the homogeneous mixture. ALDM is a finite-volume-based implicit LES approach that merges physically motivated turbulence modeling and numerical discretization. Validation of the numerical method is performed for a turbulent cavitating mixing layer. Comparisons with experimental data of the throttle flow at two different operating conditions are presented. The LES with the employed cavitation modeling predicts relevant flow and cavitation features accurately within the uncertainty range of the experiment. 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