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Noor" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/61644/17572/54724/s200_m.m..noor.61644" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ump.academia.edu/MMNoor">M.M. Noor</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universiti Malaysia Pahang (UMP)</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://upm.academia.edu/MajidDavoodiMakinejad"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://upm.academia.edu/MajidDavoodiMakinejad">Majid Davoodi Makinejad</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">UPM - Universiti Putra Malaysia</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://mun.academia.edu/BenjaminRichZendel"><img class="profile-avatar u-positionAbsolute" alt="Benjamin Zendel" border="0" onerror="if 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class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universiti Sains Islam Malaysia (USIM)</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://newcastle-au.academia.edu/RKing"><img class="profile-avatar u-positionAbsolute" alt="Robert King" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/5634811/2545483/2954571/s200_robert.king.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://newcastle-au.academia.edu/RKing">Robert King</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">The University of Newcastle</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://salerno.academia.edu/AngelamariaCardone"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://salerno.academia.edu/AngelamariaCardone">Angelamaria Cardone</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Salerno</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://spbu.academia.edu/SergeyKhaibrakhmanov"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://spbu.academia.edu/SergeyKhaibrakhmanov">Sergey A Khaibrakhmanov</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Saint-Petersburg State University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://bgu.academia.edu/HadarBenYoav"><img class="profile-avatar u-positionAbsolute" alt="Hadar Ben-Yoav" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/37246979/10569336/15860224/s200_hadar.ben-yoav.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://bgu.academia.edu/HadarBenYoav">Hadar Ben-Yoav</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Ben Gurion University of the Negev</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="60938844" href="https://www.academia.edu/Documents/in/Microfabrication"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/OlivierAmoignon","location":"/OlivierAmoignon","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/OlivierAmoignon","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Microfabrication"]}" data-trace="false" data-dom-id="Pill-react-component-8582ff60-10c4-4d75-af90-54af2a5480ce"></div> <div id="Pill-react-component-8582ff60-10c4-4d75-af90-54af2a5480ce"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="60938844" href="https://www.academia.edu/Documents/in/Numerical_Simulations"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Numerical Simulations"]}" data-trace="false" data-dom-id="Pill-react-component-e8754dee-0da2-4fd8-a98f-d8b533328bc3"></div> <div id="Pill-react-component-e8754dee-0da2-4fd8-a98f-d8b533328bc3"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="60938844" href="https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Magnetic Resonance Imaging"]}" data-trace="false" data-dom-id="Pill-react-component-6ef3b8ab-73cf-4208-be64-97ed88214898"></div> <div id="Pill-react-component-6ef3b8ab-73cf-4208-be64-97ed88214898"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="60938844" href="https://www.academia.edu/Documents/in/Optimization"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Optimization"]}" data-trace="false" data-dom-id="Pill-react-component-aaa0729b-2a22-4748-8789-00164c13164a"></div> <div id="Pill-react-component-aaa0729b-2a22-4748-8789-00164c13164a"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="nav-container backbone-profile-documents-nav hidden-xs"><ul class="nav-tablist" role="tablist"><li class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" title="Papers"><span>25</span> <span class="ds2-5-body-sm-bold">Papers</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Thesis-Chapters" data-toggle="tab" href="#thesischapters" role="tab" title="Thesis Chapters"><span>1</span> <span class="ds2-5-body-sm-bold">Thesis Chapters</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Olivier Amoignon</h3></div><div class="js-work-strip profile--work_container" data-work-id="31708903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708903/Advanced_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_Within_European_High_Lift_Program"><img alt="Research paper thumbnail of Advanced Design by Numerical Methods and Wind-Tunnel Verification Within European High-Lift Program" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708903/Advanced_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_Within_European_High_Lift_Program">Advanced Design by Numerical Methods and Wind-Tunnel Verification Within European High-Lift Program</a></div><div class="wp-workCard_item"><span>Journal of Aircraft</span><span>, May 22, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The design activity within the European 6th framework project EUROLIFT II is targeted to...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The design activity within the European 6th framework project EUROLIFT II is targeted towards an improvement of the take-off performance of a generic transport aircraft configuration by a redesign of the trailing edge flap. The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design optimization. The optimization results obtained by the different partners have been cross-calculated in order to eliminate solver dependencies and to identify the best obtained design. The final selected design has been applied to the wind tunnel model and the test in the European Transonic Wind Tunnel (ETW) at high Reynolds number confirms the predicted improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="31708902"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708902/Advanced_High_Lift_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_within_the_European_Project_EUROLIFT_II"><img alt="Research paper thumbnail of Advanced High-Lift Design by Numerical Methods and Wind Tunnel Verification within the European Project EUROLIFT II" class="work-thumbnail" src="https://attachments.academia-assets.com/52023080/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708902/Advanced_High_Lift_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_within_the_European_Project_EUROLIFT_II">Advanced High-Lift Design by Numerical Methods and Wind Tunnel Verification within the European Project EUROLIFT II</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The design activity within the European 6 th framework project EUROLIFT II is targeted towards an...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The design activity within the European 6 th framework project EUROLIFT II is targeted towards an improvement of the take-off performance of a generic transport aircraft configuration by a redesign of the trailing edge flap. The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design optimization. The optimization results obtained by the different partners have been cross-calculated in order to eliminate solver dependencies and to identify the best obtained design. The final selected design has been applied to the wind tunnel model and the test in the European Transonic Wind Tunnel (ETW) at high Reynolds number confirms the predicted improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d790eac03defc1f93d6b23da887f0af0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023080,"asset_id":31708902,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023080/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708902"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708902"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708902; 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The viscous drag is minimized by delaying the laminarturbulent transition. The gradients are obtained solving the adojoint of the Euler, boundary-layer and stability equations. The optimization is subjected to constraints such as restrictions on geometry, lift and pitch moment. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708898"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708898/A_Gradient_based_Optimization_Method_for_Natural_Laminar_Flow_Design"><img alt="Research paper thumbnail of A Gradient-based Optimization Method for Natural Laminar Flow Design" class="work-thumbnail" src="https://attachments.academia-assets.com/52023088/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708898/A_Gradient_based_Optimization_Method_for_Natural_Laminar_Flow_Design">A Gradient-based Optimization Method for Natural Laminar Flow Design</a></div><div class="wp-workCard_item"><span>IUTAM Bookseries</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A gradient-based optimization method for minimization of the total drag of an airfoil is presente...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A gradient-based optimization method for minimization of the total drag of an airfoil is presented. The viscous drag is minimized by delaying the laminarturbulent transition. The gradients are obtained solving the adojoint of the Euler, boundary-layer and stability equations. The optimization is subjected to constraints such as restrictions on geometry, lift and pitch moment. The geometry is parametrised using radial basis functions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3fbfd5122bdff4ce684b50ec5944e9de" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023088,"asset_id":31708898,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023088/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708898"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708898"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708898; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708897"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708897/Shape_Optimization_for_Delay_of_Laminar_Turbulent_Transition"><img alt="Research paper thumbnail of Shape Optimization for Delay of Laminar-Turbulent Transition" class="work-thumbnail" src="https://attachments.academia-assets.com/52023092/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708897/Shape_Optimization_for_Delay_of_Laminar_Turbulent_Transition">Shape Optimization for Delay of Laminar-Turbulent Transition</a></div><div class="wp-workCard_item"><span>Aiaa Journal</span><span>, May 2, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A method using gradient-based optimization is introduced for the design of wing profiles with the...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A method using gradient-based optimization is introduced for the design of wing profiles with the aim of natural laminar flow, as well as minimum wave drag. The Euler equations of gasdynamics, the laminar boundary-layer equations for compressible flows on infinite swept wings, and the linear parabolized stability equations (PSE) are solved to analyze the evolution of convectively unstable disturbances. Laminar-turbulent transition is assumed to be delayed by minimizing a measure of the disturbance kinetic energy of a chosen disturbance, which is computed using the PSE. The shape gradients of the disturbance kinetic energy are computed based on the solutions of the adjoints of the state equations just named. Numerical tests are carried out to optimize the RAE 2822 airfoil with the aim to delay simultaneously the transition, reduce the pressure drag coefficient, and maintain the coefficients of lift and pitch moments. Constraints are also applied on the geometry. Results show a reduction of the total amplification of a large number of disturbances, which is assumed to represent a delay of the transition in the boundary layer. Because delay of the transition implies reduction of the viscous drag, the present method enables shape optimization to perform viscous drag reduction.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="deb108baf3f81177c20e1cb739128f48" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023092,"asset_id":31708897,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023092/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708897"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708897"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708897; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708896"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708896/Adjoint_Methods_for_Natural_and_Hybrid_Laminar_Flow_Design_Invited_"><img alt="Research paper thumbnail of Adjoint Methods for Natural, and Hybrid Laminar Flow Design (Invited)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708896/Adjoint_Methods_for_Natural_and_Hybrid_Laminar_Flow_Design_Invited_">Adjoint Methods for Natural, and Hybrid Laminar Flow Design (Invited)</a></div><div class="wp-workCard_item"><span>38th Fluid Dynamics Conference and Exhibit</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708896"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708896"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708896; 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The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="79cc5f8ff54420520a6185bbbbd1dce5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023074,"asset_id":31708895,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023074/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708895"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708895"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708895; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708894"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708894/Adjoint_of_a_median_dual_finite_volume_scheme_Application_to_transonic_Aerodynamic_Shape_Optimization"><img alt="Research paper thumbnail of Adjoint of a median-dual finite-volume scheme Application to transonic Aerodynamic Shape Optimization" class="work-thumbnail" src="https://attachments.academia-assets.com/52023077/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708894/Adjoint_of_a_median_dual_finite_volume_scheme_Application_to_transonic_Aerodynamic_Shape_Optimization">Adjoint of a median-dual finite-volume scheme Application to transonic Aerodynamic Shape Optimization</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The sensitivity analysis is a crucial step in algorithms for gradient-based aerodynamic shape opt...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The sensitivity analysis is a crucial step in algorithms for gradient-based aerodynamic shape optimization. The analysis involves computing the gradient of functionals such as drag, lift, or aerodynamic moments, with respect to the parameters of the design. Gradients are efficiently calculated by solving adjoints of the linearized flow equations. The flow is modeled by the Euler equations of gas dynamics, solved in Edge, a Computational Fluid Dynamics (CFD) code for unstructured meshes. The adjoint equations and expressions for the gradients are derived here in the fully discrete case, that is, the mappings from the design variables to the functional's values involve the discretized flow equations, a mesh deformation equation, and the parameterization of the geometry. We present a formalism and basic properties that enable a compact derivation of the adjoint for discretized flow equations obeying an edge-based structure, such as the vertex-centered median-dual finite volume discretization implemented in Edge. This approach is applied here to the optimization of the RAE 2822 airfoil and the ONERA M6 wing. In particular, we show a method to parameterize the shape, in 2D, in order to enforce smoothness and linear geometrical constraints.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9057425fefca4d3b168765d8c17c67c2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023077,"asset_id":31708894,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023077/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708894"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708894"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708894; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708893"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708893/Applying_numerical_optimization_to_realistic_high_lift_design_of_transport_aircraft_an_overview_of_the_aerodynamic_design_optimisation_investigations_within_the_EUROLIFT_II_project"><img alt="Research paper thumbnail of Applying numerical optimization to realistic high-lift design of transport aircraft – an overview of the aerodynamic design optimisation investigations within the EUROLIFT II project" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708893/Applying_numerical_optimization_to_realistic_high_lift_design_of_transport_aircraft_an_overview_of_the_aerodynamic_design_optimisation_investigations_within_the_EUROLIFT_II_project">Applying numerical optimization to realistic high-lift design of transport aircraft – an overview of the aerodynamic design optimisation investigations within the EUROLIFT II project</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The EUROLIFT II project, funded by the European Commission within the 6th framework programme, is...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The EUROLIFT II project, funded by the European Commission within the 6th framework programme, is dedicated to the investigation of transport aircraft in high-lift configuration. It covers both numerical and experimental studies, mainly targeted towards validation of CFD for maximum lift prediction of such configurations. It is a follow up to the EUROLIFT project of the 5th framework programme. While in the former project a simplified wing-body high-lift configuration was investigated, the new project focuses on a more realistic configuration including engine nacelles, pylons, tracks and brackets. Additionally the next step is undertaken coming from analysis to design. Since it is a main aim of the project to deal with realistic configurations, this design will be done at a Reynolds number comparable to flight conditions of a real transport aircraft. The design activity within the project is targeted towards an improvement of the aerodynamic properties of the DLR-F11 model already u...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708893"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708893"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708893; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31708893]").text(description); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708892"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708892/Discrete_adjoint_based_shape_optimization_for_an_edge_based_finite_volume_solver"><img alt="Research paper thumbnail of Discrete adjoint-based shape optimization for an edge-based finite-volume solver" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708892/Discrete_adjoint_based_shape_optimization_for_an_edge_based_finite_volume_solver">Discrete adjoint-based shape optimization for an edge-based finite-volume solver</a></div><div class="wp-workCard_item"><span>Computational Fluid and Solid Mechanics 2003</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708892"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708892"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708892; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=31708891]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":31708891,"title":"Design of a High Lift System with a Leading Edge Droop Nose","internal_url":"https://www.academia.edu/31708891/Design_of_a_High_Lift_System_with_a_Leading_Edge_Droop_Nose","owner_id":60938844,"coauthors_can_edit":true,"owner":{"id":60938844,"first_name":"Olivier","middle_initials":null,"last_name":"Amoignon","page_name":"OlivierAmoignon","domain_name":"independent","created_at":"2017-03-03T05:04:46.569-08:00","display_name":"Olivier Amoignon","url":"https://independent.academia.edu/OlivierAmoignon"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708890"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708890/Study_of_parameterizations_in_the_project_CEDESA"><img alt="Research paper thumbnail of Study of parameterizations in the project CEDESA" class="work-thumbnail" src="https://attachments.academia-assets.com/52023102/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708890/Study_of_parameterizations_in_the_project_CEDESA">Study of parameterizations in the project CEDESA</a></div><div class="wp-workCard_item"><span>52nd Aerospace Sciences Meeting</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We are using test cases proposed by the AIAA Discussion Group on Aerodynamic Design Optimization ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We are using test cases proposed by the AIAA Discussion Group on Aerodynamic Design Optimization in order to compare two different approaches of parameterization. The methods are a Free-Form Deformation (FFD) scheme under development and a Radial Basis Function (RBF) approach. The main criteria we are observing are convergence behavior, e.g. when increasing the number of design parameters, and ability to resolve geometric constraints. Results for the NACA0012 airfoil and the RAE2822 airfoil test cases are presented, as well as a preliminary study of wing shape optimization.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0e820fb40fbd38cebaad1681b39621bf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023102,"asset_id":31708890,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023102/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708890"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708890"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708890; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31708890]").text(description); $(".js-view-count[data-work-id=31708890]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31708890; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='31708890']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708889/Advanced_High_Lift_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_within_the_European_Project_EUROLIFT_II"><img alt="Research paper thumbnail of Advanced High-Lift Design by Numerical Methods and Wind Tunnel Verification within the European Project EUROLIFT II" class="work-thumbnail" src="https://attachments.academia-assets.com/52023082/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708889/Advanced_High_Lift_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_within_the_European_Project_EUROLIFT_II">Advanced High-Lift Design by Numerical Methods and Wind Tunnel Verification within the European Project EUROLIFT II</a></div><div class="wp-workCard_item"><span>25th AIAA Applied Aerodynamics Conference</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The design activity within the European 6 th framework project EUROLIFT II is targeted towards an...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The design activity within the European 6 th framework project EUROLIFT II is targeted towards an improvement of the take-off performance of a generic transport aircraft configuration by a redesign of the trailing edge flap. The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design optimization. The optimization results obtained by the different partners have been cross-calculated in order to eliminate solver dependencies and to identify the best obtained design. The final selected design has been applied to the wind tunnel model and the test in the European Transonic Wind Tunnel (ETW) at high Reynolds number confirms the predicted improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5090c7958a92f84e1599efffb8b4b079" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023082,"asset_id":31708889,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023082/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708889; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708888"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708888/Coupling_of_the_Edge_CFD_Solver_with_External_Solvers"><img alt="Research paper thumbnail of Coupling of the Edge CFD Solver with External Solvers" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708888/Coupling_of_the_Edge_CFD_Solver_with_External_Solvers">Coupling of the Edge CFD Solver with External Solvers</a></div><div class="wp-workCard_item"><span>53rd AIAA Aerospace Sciences Meeting</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708888"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708888"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708888; 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Our objective is to accurately resolve problems of shape optimization including geometric constraints. Here we couple an FFD based on NURBS with a Radial Basis Function (RBF) in order to improve the control of the deformations and enable a more accurate resolution of constraints even when using a coarse lattice. Our investigations also focus on efficiency, showing for instance that the highest NURBS degree improve the resolution of the optimization problem when the solution is a smooth shape in 2D without influencing the cost of optimization. This indicates a mean to avoid wiggles in shapes deformed by FFD without deteriorating the condition of the problem. Other applications in 2D and 3D also illustrate the behaviour of the FFD parameterization when refining or adapting the position of the lattice vertices.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ff9f654017a33879248a298087da7339" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023079,"asset_id":31708887,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023079/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708887"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708887"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708887; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708886"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708886/Aerodynamic_Design_Considerations_and_Shape_Optimization_of_Flying_Wings_in_Transonic_Flight"><img alt="Research paper thumbnail of Aerodynamic Design Considerations and Shape Optimization of Flying Wings in Transonic Flight" class="work-thumbnail" src="https://attachments.academia-assets.com/52023081/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708886/Aerodynamic_Design_Considerations_and_Shape_Optimization_of_Flying_Wings_in_Transonic_Flight">Aerodynamic Design Considerations and Shape Optimization of Flying Wings in Transonic Flight</a></div><div class="wp-workCard_item"><span>12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper provides a technique that minimize the cruise drag (or maximize L/D) for a blended win...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper provides a technique that minimize the cruise drag (or maximize L/D) for a blended wing body transport with a number of constraints. The wing shape design is done by splitting the problem into 2D airfoil design and 3D twist optimization with a frozen planform. A 45% to 50% reduction of inviscid drag is finally obtained, with desired pitching moment. The results indicate that further improvement can be obtained by modifying the planform and varying the camber more aggressively.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="85aa2da02b1d83c29460144b247ab9e0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023081,"asset_id":31708886,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023081/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708886"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708886"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708886; 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The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design optimization. The optimization results obtained by the different partners have been cross-calculated in order to eliminate solver dependencies and to identify the best obtained design. 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</script> <div class="js-work-strip profile--work_container" data-work-id="31708884"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708884/Design_of_a_High_Lift_System_with_Droop_Nose_Device"><img alt="Research paper thumbnail of Design of a High-Lift System with Droop Nose Device" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708884/Design_of_a_High_Lift_System_with_Droop_Nose_Device">Design of a High-Lift System with Droop Nose Device</a></div><div class="wp-workCard_item"><span>Journal of Aircraft</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708884"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708884"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708884; 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The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design optimization. The optimization results obtained by the different partners have been cross-calculated in order to eliminate solver dependencies and to identify the best obtained design. The final selected design has been applied to the wind tunnel model and the test in the European Transonic Wind Tunnel (ETW) at high Reynolds number confirms the predicted improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="31708902"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708902/Advanced_High_Lift_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_within_the_European_Project_EUROLIFT_II"><img alt="Research paper thumbnail of Advanced High-Lift Design by Numerical Methods and Wind Tunnel Verification within the European Project EUROLIFT II" class="work-thumbnail" src="https://attachments.academia-assets.com/52023080/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708902/Advanced_High_Lift_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_within_the_European_Project_EUROLIFT_II">Advanced High-Lift Design by Numerical Methods and Wind Tunnel Verification within the European Project EUROLIFT II</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The design activity within the European 6 th framework project EUROLIFT II is targeted towards an...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The design activity within the European 6 th framework project EUROLIFT II is targeted towards an improvement of the take-off performance of a generic transport aircraft configuration by a redesign of the trailing edge flap. The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design optimization. The optimization results obtained by the different partners have been cross-calculated in order to eliminate solver dependencies and to identify the best obtained design. The final selected design has been applied to the wind tunnel model and the test in the European Transonic Wind Tunnel (ETW) at high Reynolds number confirms the predicted improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d790eac03defc1f93d6b23da887f0af0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023080,"asset_id":31708902,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023080/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708902"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708902"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708902; 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The viscous drag is minimized by delaying the laminarturbulent transition. The gradients are obtained solving the adojoint of the Euler, boundary-layer and stability equations. The optimization is subjected to constraints such as restrictions on geometry, lift and pitch moment. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708898"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708898/A_Gradient_based_Optimization_Method_for_Natural_Laminar_Flow_Design"><img alt="Research paper thumbnail of A Gradient-based Optimization Method for Natural Laminar Flow Design" class="work-thumbnail" src="https://attachments.academia-assets.com/52023088/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708898/A_Gradient_based_Optimization_Method_for_Natural_Laminar_Flow_Design">A Gradient-based Optimization Method for Natural Laminar Flow Design</a></div><div class="wp-workCard_item"><span>IUTAM Bookseries</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A gradient-based optimization method for minimization of the total drag of an airfoil is presente...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A gradient-based optimization method for minimization of the total drag of an airfoil is presented. The viscous drag is minimized by delaying the laminarturbulent transition. The gradients are obtained solving the adojoint of the Euler, boundary-layer and stability equations. The optimization is subjected to constraints such as restrictions on geometry, lift and pitch moment. The geometry is parametrised using radial basis functions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3fbfd5122bdff4ce684b50ec5944e9de" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023088,"asset_id":31708898,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023088/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708898"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708898"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708898; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708897"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708897/Shape_Optimization_for_Delay_of_Laminar_Turbulent_Transition"><img alt="Research paper thumbnail of Shape Optimization for Delay of Laminar-Turbulent Transition" class="work-thumbnail" src="https://attachments.academia-assets.com/52023092/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708897/Shape_Optimization_for_Delay_of_Laminar_Turbulent_Transition">Shape Optimization for Delay of Laminar-Turbulent Transition</a></div><div class="wp-workCard_item"><span>Aiaa Journal</span><span>, May 2, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A method using gradient-based optimization is introduced for the design of wing profiles with the...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A method using gradient-based optimization is introduced for the design of wing profiles with the aim of natural laminar flow, as well as minimum wave drag. The Euler equations of gasdynamics, the laminar boundary-layer equations for compressible flows on infinite swept wings, and the linear parabolized stability equations (PSE) are solved to analyze the evolution of convectively unstable disturbances. Laminar-turbulent transition is assumed to be delayed by minimizing a measure of the disturbance kinetic energy of a chosen disturbance, which is computed using the PSE. The shape gradients of the disturbance kinetic energy are computed based on the solutions of the adjoints of the state equations just named. Numerical tests are carried out to optimize the RAE 2822 airfoil with the aim to delay simultaneously the transition, reduce the pressure drag coefficient, and maintain the coefficients of lift and pitch moments. Constraints are also applied on the geometry. Results show a reduction of the total amplification of a large number of disturbances, which is assumed to represent a delay of the transition in the boundary layer. Because delay of the transition implies reduction of the viscous drag, the present method enables shape optimization to perform viscous drag reduction.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="deb108baf3f81177c20e1cb739128f48" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023092,"asset_id":31708897,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023092/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708897"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708897"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708897; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708896"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708896/Adjoint_Methods_for_Natural_and_Hybrid_Laminar_Flow_Design_Invited_"><img alt="Research paper thumbnail of Adjoint Methods for Natural, and Hybrid Laminar Flow Design (Invited)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708896/Adjoint_Methods_for_Natural_and_Hybrid_Laminar_Flow_Design_Invited_">Adjoint Methods for Natural, and Hybrid Laminar Flow Design (Invited)</a></div><div class="wp-workCard_item"><span>38th Fluid Dynamics Conference and Exhibit</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708896"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708896"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708896; 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The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="79cc5f8ff54420520a6185bbbbd1dce5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023074,"asset_id":31708895,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023074/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708895"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708895"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708895; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708894"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708894/Adjoint_of_a_median_dual_finite_volume_scheme_Application_to_transonic_Aerodynamic_Shape_Optimization"><img alt="Research paper thumbnail of Adjoint of a median-dual finite-volume scheme Application to transonic Aerodynamic Shape Optimization" class="work-thumbnail" src="https://attachments.academia-assets.com/52023077/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708894/Adjoint_of_a_median_dual_finite_volume_scheme_Application_to_transonic_Aerodynamic_Shape_Optimization">Adjoint of a median-dual finite-volume scheme Application to transonic Aerodynamic Shape Optimization</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The sensitivity analysis is a crucial step in algorithms for gradient-based aerodynamic shape opt...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The sensitivity analysis is a crucial step in algorithms for gradient-based aerodynamic shape optimization. The analysis involves computing the gradient of functionals such as drag, lift, or aerodynamic moments, with respect to the parameters of the design. Gradients are efficiently calculated by solving adjoints of the linearized flow equations. The flow is modeled by the Euler equations of gas dynamics, solved in Edge, a Computational Fluid Dynamics (CFD) code for unstructured meshes. The adjoint equations and expressions for the gradients are derived here in the fully discrete case, that is, the mappings from the design variables to the functional's values involve the discretized flow equations, a mesh deformation equation, and the parameterization of the geometry. We present a formalism and basic properties that enable a compact derivation of the adjoint for discretized flow equations obeying an edge-based structure, such as the vertex-centered median-dual finite volume discretization implemented in Edge. This approach is applied here to the optimization of the RAE 2822 airfoil and the ONERA M6 wing. In particular, we show a method to parameterize the shape, in 2D, in order to enforce smoothness and linear geometrical constraints.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9057425fefca4d3b168765d8c17c67c2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023077,"asset_id":31708894,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023077/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708894"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708894"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708894; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708893"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708893/Applying_numerical_optimization_to_realistic_high_lift_design_of_transport_aircraft_an_overview_of_the_aerodynamic_design_optimisation_investigations_within_the_EUROLIFT_II_project"><img alt="Research paper thumbnail of Applying numerical optimization to realistic high-lift design of transport aircraft – an overview of the aerodynamic design optimisation investigations within the EUROLIFT II project" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708893/Applying_numerical_optimization_to_realistic_high_lift_design_of_transport_aircraft_an_overview_of_the_aerodynamic_design_optimisation_investigations_within_the_EUROLIFT_II_project">Applying numerical optimization to realistic high-lift design of transport aircraft – an overview of the aerodynamic design optimisation investigations within the EUROLIFT II project</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The EUROLIFT II project, funded by the European Commission within the 6th framework programme, is...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The EUROLIFT II project, funded by the European Commission within the 6th framework programme, is dedicated to the investigation of transport aircraft in high-lift configuration. It covers both numerical and experimental studies, mainly targeted towards validation of CFD for maximum lift prediction of such configurations. It is a follow up to the EUROLIFT project of the 5th framework programme. While in the former project a simplified wing-body high-lift configuration was investigated, the new project focuses on a more realistic configuration including engine nacelles, pylons, tracks and brackets. Additionally the next step is undertaken coming from analysis to design. Since it is a main aim of the project to deal with realistic configurations, this design will be done at a Reynolds number comparable to flight conditions of a real transport aircraft. The design activity within the project is targeted towards an improvement of the aerodynamic properties of the DLR-F11 model already u...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708893"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708893"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708893; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31708893]").text(description); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708892"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708892/Discrete_adjoint_based_shape_optimization_for_an_edge_based_finite_volume_solver"><img alt="Research paper thumbnail of Discrete adjoint-based shape optimization for an edge-based finite-volume solver" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708892/Discrete_adjoint_based_shape_optimization_for_an_edge_based_finite_volume_solver">Discrete adjoint-based shape optimization for an edge-based finite-volume solver</a></div><div class="wp-workCard_item"><span>Computational Fluid and Solid Mechanics 2003</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708892"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708892"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708892; 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The methods are a Free-Form Deformation (FFD) scheme under development and a Radial Basis Function (RBF) approach. The main criteria we are observing are convergence behavior, e.g. when increasing the number of design parameters, and ability to resolve geometric constraints. Results for the NACA0012 airfoil and the RAE2822 airfoil test cases are presented, as well as a preliminary study of wing shape optimization.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0e820fb40fbd38cebaad1681b39621bf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023102,"asset_id":31708890,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023102/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708890"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708890"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708890; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31708890]").text(description); $(".js-view-count[data-work-id=31708890]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31708890; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='31708890']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708889/Advanced_High_Lift_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_within_the_European_Project_EUROLIFT_II"><img alt="Research paper thumbnail of Advanced High-Lift Design by Numerical Methods and Wind Tunnel Verification within the European Project EUROLIFT II" class="work-thumbnail" src="https://attachments.academia-assets.com/52023082/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708889/Advanced_High_Lift_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_within_the_European_Project_EUROLIFT_II">Advanced High-Lift Design by Numerical Methods and Wind Tunnel Verification within the European Project EUROLIFT II</a></div><div class="wp-workCard_item"><span>25th AIAA Applied Aerodynamics Conference</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The design activity within the European 6 th framework project EUROLIFT II is targeted towards an...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The design activity within the European 6 th framework project EUROLIFT II is targeted towards an improvement of the take-off performance of a generic transport aircraft configuration by a redesign of the trailing edge flap. The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design optimization. The optimization results obtained by the different partners have been cross-calculated in order to eliminate solver dependencies and to identify the best obtained design. The final selected design has been applied to the wind tunnel model and the test in the European Transonic Wind Tunnel (ETW) at high Reynolds number confirms the predicted improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5090c7958a92f84e1599efffb8b4b079" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023082,"asset_id":31708889,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023082/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708889; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708888"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708888/Coupling_of_the_Edge_CFD_Solver_with_External_Solvers"><img alt="Research paper thumbnail of Coupling of the Edge CFD Solver with External Solvers" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708888/Coupling_of_the_Edge_CFD_Solver_with_External_Solvers">Coupling of the Edge CFD Solver with External Solvers</a></div><div class="wp-workCard_item"><span>53rd AIAA Aerospace Sciences Meeting</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708888"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708888"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708888; 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Our objective is to accurately resolve problems of shape optimization including geometric constraints. Here we couple an FFD based on NURBS with a Radial Basis Function (RBF) in order to improve the control of the deformations and enable a more accurate resolution of constraints even when using a coarse lattice. Our investigations also focus on efficiency, showing for instance that the highest NURBS degree improve the resolution of the optimization problem when the solution is a smooth shape in 2D without influencing the cost of optimization. This indicates a mean to avoid wiggles in shapes deformed by FFD without deteriorating the condition of the problem. Other applications in 2D and 3D also illustrate the behaviour of the FFD parameterization when refining or adapting the position of the lattice vertices.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ff9f654017a33879248a298087da7339" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023079,"asset_id":31708887,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023079/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708887"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708887"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708887; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708886"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31708886/Aerodynamic_Design_Considerations_and_Shape_Optimization_of_Flying_Wings_in_Transonic_Flight"><img alt="Research paper thumbnail of Aerodynamic Design Considerations and Shape Optimization of Flying Wings in Transonic Flight" class="work-thumbnail" src="https://attachments.academia-assets.com/52023081/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31708886/Aerodynamic_Design_Considerations_and_Shape_Optimization_of_Flying_Wings_in_Transonic_Flight">Aerodynamic Design Considerations and Shape Optimization of Flying Wings in Transonic Flight</a></div><div class="wp-workCard_item"><span>12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper provides a technique that minimize the cruise drag (or maximize L/D) for a blended win...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper provides a technique that minimize the cruise drag (or maximize L/D) for a blended wing body transport with a number of constraints. The wing shape design is done by splitting the problem into 2D airfoil design and 3D twist optimization with a frozen planform. A 45% to 50% reduction of inviscid drag is finally obtained, with desired pitching moment. The results indicate that further improvement can be obtained by modifying the planform and varying the camber more aggressively.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="85aa2da02b1d83c29460144b247ab9e0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52023081,"asset_id":31708886,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52023081/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708886"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708886"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708886; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31708885"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/31708885/Advanced_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_Within_European_High_Lift_Program"><img alt="Research paper thumbnail of Advanced Design by Numerical Methods and Wind-Tunnel Verification Within European High-Lift Program" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/31708885/Advanced_Design_by_Numerical_Methods_and_Wind_Tunnel_Verification_Within_European_High_Lift_Program">Advanced Design by Numerical Methods and Wind-Tunnel Verification Within European High-Lift Program</a></div><div class="wp-workCard_item"><span>Journal of Aircraft</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The design activity within the European 6th framework project EUROLIFT II is targeted to...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The design activity within the European 6th framework project EUROLIFT II is targeted towards an improvement of the take-off performance of a generic transport aircraft configuration by a redesign of the trailing edge flap. The involved partners applied different optimization strategies as well as different types of flow solvers in order to cover a wide range of possible approaches for aerodynamic design optimization. The optimization results obtained by the different partners have been cross-calculated in order to eliminate solver dependencies and to identify the best obtained design. The final selected design has been applied to the wind tunnel model and the test in the European Transonic Wind Tunnel (ETW) at high Reynolds number confirms the predicted improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31708885"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31708885"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31708885; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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