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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/84633199/Probabilistic_Damage_Stability_for_Passenger_Ships_The_p_Factor_Illusion_and_Reality"><img alt="Research paper thumbnail of Probabilistic Damage Stability for Passenger Ships鈥擳he p-Factor Illusion and Reality" class="work-thumbnail" src="https://attachments.academia-assets.com/89587104/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/84633199/Probabilistic_Damage_Stability_for_Passenger_Ships_The_p_Factor_Illusion_and_Reality">Probabilistic Damage Stability for Passenger Ships鈥擳he p-Factor Illusion and Reality</a></div><div class="wp-workCard_item"><span>Journal of Marine Science and Engineering</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The paper complements an earlier publication by the authors addressing the probability of surviva...</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 paper complements an earlier publication by the authors addressing the probability of survival in the IMO framework for damage stability assessment, the s-factor. The focus here is on the probability of occurrence of a certain damage scenario (breach), conditional on its dimensions and location (centre and port or starboard side), the p-factor. Pertinent assumptions and limitations are explained, following its evolution for specific application to passenger ships. Attempts to provide analytical descriptions of the damage breach distributions as tetrahedra shapes positioned along the ship length whilst accounting for changes in ship geometry, structural arrangements, and subdivision for consumption by the wider profession has led to misconceptions and misunderstandings of what exactly the p-factor is in the context of probabilistic damage stability calculations. This is evidenced by the fact that the same original damage breach distributions, derived in Project HARDER, based on l...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5c94f31984aa281c48560961f9baf34f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":89587104,"asset_id":84633199,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/89587104/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&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="84633199"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84633199"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84633199; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84633199]").text(description); $(".js-view-count[data-work-id=84633199]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84633199; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84633199']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 84633199, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5c94f31984aa281c48560961f9baf34f" } } $('.js-work-strip[data-work-id=84633199]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84633199,"title":"Probabilistic Damage Stability for Passenger Ships鈥擳he p-Factor Illusion and Reality","translated_title":"","metadata":{"abstract":"The paper complements an earlier publication by the authors addressing the probability of survival in the IMO framework for damage stability assessment, the s-factor. 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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="84633188"><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/84633188/Conception_and_Evolution_of_the_Probabilistic_Methods_for_Ship_Damage_Stability_and_Flooding_Risk_Assessment"><img alt="Research paper thumbnail of Conception and Evolution of the Probabilistic Methods for Ship Damage Stability and Flooding Risk Assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/89587094/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/84633188/Conception_and_Evolution_of_the_Probabilistic_Methods_for_Ship_Damage_Stability_and_Flooding_Risk_Assessment">Conception and Evolution of the Probabilistic Methods for Ship Damage Stability and Flooding Risk Assessment</a></div><div class="wp-workCard_item"><span>Journal of Marine Science and Engineering</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The paper provides a full description and explanation of the probabilistic method for ship damage...</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 paper provides a full description and explanation of the probabilistic method for ship damage stability assessment from its conception to date with focus on the probability of survival (s-factor), explaining pertinent assumptions and limitations and describing its evolution for specific application to passenger ships, using contemporary numerical and experimental tools and data. It also provides comparisons in results between statistical and direct approaches and makes recommendations on how these can be reconciled with better understanding of the implicit assumptions in the approach for use in ship design and operation. Evolution over the latter years to support pertinent regulatory developments relating to flooding risk (safety level) assessment as well as research in this direction with a focus on passenger ships, have created a new focus that combines all flooding hazards (collision, bottom and side groundings) to assess potential loss of life as a means of guiding further r...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5522a8d1efd01a697891567871f31dd2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":89587094,"asset_id":84633188,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/89587094/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&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="84633188"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84633188"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84633188; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84633188]").text(description); $(".js-view-count[data-work-id=84633188]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84633188; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84633188']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 84633188, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5522a8d1efd01a697891567871f31dd2" } } $('.js-work-strip[data-work-id=84633188]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84633188,"title":"Conception and Evolution of the Probabilistic Methods for Ship Damage Stability and Flooding Risk Assessment","translated_title":"","metadata":{"abstract":"The paper provides a full description and explanation of the probabilistic method for ship damage stability assessment from its conception to date with focus on the probability of survival (s-factor), explaining pertinent assumptions and limitations and describing its evolution for specific application to passenger ships, using contemporary numerical and experimental tools and data. 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Evolution over the latter years to support pertinent regulatory developments relating to flooding risk (safety level) assessment as well as research in this direction with a focus on passenger ships, have created a new focus that combines all flooding hazards (collision, bottom and side groundings) to assess potential loss of life as a means of guiding further r...","publisher":"MDPI AG","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Journal of Marine Science and Engineering"},"translated_abstract":"The paper provides a full description and explanation of the probabilistic method for ship damage stability assessment from its conception to date with focus on the probability of survival (s-factor), explaining pertinent assumptions and limitations and describing its evolution for specific application to passenger ships, using contemporary numerical and experimental tools and data. 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The computational models used nonlinear finite element method involving large deformations (strains) of both vessel and offshore platform, dynamic effects of material (e.g., strain rate and dynamic fracture strain), and the influence of surrounding waters. The applicability of the modelling techniques was demonstrated with an applied example to collisions between an OSV and a jacket-type offshore platform, where a sensitivity analysis was carried out for different collision parameters (e.g., collision velocities and impact locations). It is concluded that the computational models can ultimately be employed for quantitative risk assessment of fixed-type offshore structures collided with an OSV, which requires to perform the structural crashworthiness analysis.","publication_name":"Thin-Walled Structures","grobid_abstract_attachment_id":78274025},"translated_abstract":null,"internal_url":"https://www.academia.edu/67467719/Computational_models_for_the_structural_crashworthiness_analysis_of_a_fixed_type_offshore_platform_in_collisions_with_an_offshore_supply_vessel","translated_internal_url":"","created_at":"2022-01-06T22:33:15.453-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6012405,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78274025,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78274025/thumbnails/1.jpg","file_name":"Accepted_20manuscript.pdf","download_url":"https://www.academia.edu/attachments/78274025/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Computational_models_for_the_structural.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78274025/Accepted_20manuscript-libre.pdf?1641546724=\u0026response-content-disposition=attachment%3B+filename%3DComputational_models_for_the_structural.pdf\u0026Expires=1732497818\u0026Signature=bIhZRakEUYzZ2BwxF~tL7K3othT~redXT~JXQh5mS5Lr2lx0mpqw3EH-WSOcQCNX2nrMmxhbSD2q6RW2lMwhHqXZf~S0StWRc9Obu47VDAD~c5Ri90v4wEk0mu2zq0tQg9pfrJme5MG6YVdkcp5PhpnI9LpD3rEwLDJ3udje6zBdvPncZyHurCWZMWRPC~QumZmmCyzcyvIeUBBlQxYTL0DzGBhg4cUoBKaASvfzyivgs6qdsz4ZvBmbceuSS~KOv5gjt8ZxRAtWKyzfiYjaCsTzbmy9D6TiX6nPaHEHmmh2FGiTGLeGPx9W2Y4hVSk2ZAFFm89jlra~eeNK76VRgQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Computational_models_for_the_structural_crashworthiness_analysis_of_a_fixed_type_offshore_platform_in_collisions_with_an_offshore_supply_vessel","translated_slug":"","page_count":38,"language":"en","content_type":"Work","owner":{"id":6012405,"first_name":"mujeeb","middle_initials":null,"last_name":"ahmed","page_name":"mujeebahmed","domain_name":"independent","created_at":"2013-10-07T23:19:15.292-07:00","display_name":"mujeeb ahmed","url":"https://independent.academia.edu/mujeebahmed"},"attachments":[{"id":78274025,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78274025/thumbnails/1.jpg","file_name":"Accepted_20manuscript.pdf","download_url":"https://www.academia.edu/attachments/78274025/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Computational_models_for_the_structural.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78274025/Accepted_20manuscript-libre.pdf?1641546724=\u0026response-content-disposition=attachment%3B+filename%3DComputational_models_for_the_structural.pdf\u0026Expires=1732497818\u0026Signature=bIhZRakEUYzZ2BwxF~tL7K3othT~redXT~JXQh5mS5Lr2lx0mpqw3EH-WSOcQCNX2nrMmxhbSD2q6RW2lMwhHqXZf~S0StWRc9Obu47VDAD~c5Ri90v4wEk0mu2zq0tQg9pfrJme5MG6YVdkcp5PhpnI9LpD3rEwLDJ3udje6zBdvPncZyHurCWZMWRPC~QumZmmCyzcyvIeUBBlQxYTL0DzGBhg4cUoBKaASvfzyivgs6qdsz4ZvBmbceuSS~KOv5gjt8ZxRAtWKyzfiYjaCsTzbmy9D6TiX6nPaHEHmmh2FGiTGLeGPx9W2Y4hVSk2ZAFFm89jlra~eeNK76VRgQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering"},{"id":466874,"name":"Thin Walled Structures","url":"https://www.academia.edu/Documents/in/Thin_Walled_Structures"}],"urls":[{"id":16191433,"url":"https://api.elsevier.com/content/article/PII:S0263823120307461?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2f944cca22f1968b0512c90581848009" } } $('.js-work-strip[data-work-id=67467716]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67467716,"title":"A probabilistic approach to determine design loads for collision between an offshore supply vessel and offshore installations","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Offshore supply vessel (OSV) collisions have been identified as the most frequent type of collision accidents in the offshore oil / gas or wind turbine industries. Quantitative risk assessment (QRA) is an efficient method for evaluating the collision risk to an offshore installation. In-depth information on collision load parameters, such as incoming ship velocity and impact location, is considered prerequisite for determining the consequences of collisions with accuracy. Thus, the aim of this study is to provide a new probabilistic method for determining collision design loads. Each input parameter is treated by a probability density function, and a set of 50 prospective collision scenarios is generated using Latin hyper cube sampling (LHS) technique. Numerical computations of ship motions are performed to obtain collision load parameters. The probabilistic characteristics of the parameters using a goodness of fit test and an interval study are carried out, and best-fit PDFs and the exceedance curve are plotted. A case study of the proposed method is demonstrated using a hypothetical OSV and an offshore jacket structure located in a hypothetical oceanic region. 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The main aim of this study was to carry out a probabilistic collision-risk analysis for offshore platforms exposed to powered collisions with passing vessels using an automatic identification system (AIS) database. The paper first describes the statistical distribution of the ship traffic under study and then considers how this information can be effectively used to estimate collision frequencies and impact energies for various categories of vessel, based on a simple probabilistic method. The effects of various collision mitigation measures, such as the use of enhanced collision alarming devices and the ability of platforms to rotate using thrusters, are considered in the frequency calculations. The risk method presented in this paper can be applied in the design and development phase of both new and existing platforms.","publication_name":"Ocean Engineering","grobid_abstract_attachment_id":78273878},"translated_abstract":null,"internal_url":"https://www.academia.edu/67467488/Probabilistic_approach_for_collision_risk_analysis_of_powered_vessel_with_offshore_platforms","translated_internal_url":"","created_at":"2022-01-06T22:31:35.899-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6012405,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78273878,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78273878/thumbnails/1.jpg","file_name":"Paik_OE-D-17-00166R2-_20Manuscript-final.pdf","download_url":"https://www.academia.edu/attachments/78273878/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Probabilistic_approach_for_collision_ris.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78273878/Paik_OE-D-17-00166R2-_20Manuscript-final-libre.pdf?1641546727=\u0026response-content-disposition=attachment%3B+filename%3DProbabilistic_approach_for_collision_ris.pdf\u0026Expires=1732497818\u0026Signature=WaSZHc4owFqNK1-KYsLJJxiDy2yqvh4B0oJp9KXCbrsk9AcRQpAw98FSAPZ-1a4Si2y80wmj5huGGH4msCWnUwuNhAP-UnUMQxsqpOmO8najdt4MzoIDSD4t4Usawlngr8nBav9LBWd49uK94pCV-pa2hT5HJAo~3L6cLaXON6P0-wvyNw75MXUvh66nl2Xl55JlMLykGOy5KtXj37bYZ3pVeysqD06CyxVxWvFUSupWzb~9SUeAGUVBXxtg933r7OFX5OA0zH1gZux0DHCeg4hr8fms7WEHS6NLxP5NI57zsRmTJLsF63CGqhZ~-aIn0DUjgkCFisU88-GEDGtjQA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Probabilistic_approach_for_collision_risk_analysis_of_powered_vessel_with_offshore_platforms","translated_slug":"","page_count":34,"language":"en","content_type":"Work","owner":{"id":6012405,"first_name":"mujeeb","middle_initials":null,"last_name":"ahmed","page_name":"mujeebahmed","domain_name":"independent","created_at":"2013-10-07T23:19:15.292-07:00","display_name":"mujeeb ahmed","url":"https://independent.academia.edu/mujeebahmed"},"attachments":[{"id":78273878,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78273878/thumbnails/1.jpg","file_name":"Paik_OE-D-17-00166R2-_20Manuscript-final.pdf","download_url":"https://www.academia.edu/attachments/78273878/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Probabilistic_approach_for_collision_ris.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78273878/Paik_OE-D-17-00166R2-_20Manuscript-final-libre.pdf?1641546727=\u0026response-content-disposition=attachment%3B+filename%3DProbabilistic_approach_for_collision_ris.pdf\u0026Expires=1732497818\u0026Signature=WaSZHc4owFqNK1-KYsLJJxiDy2yqvh4B0oJp9KXCbrsk9AcRQpAw98FSAPZ-1a4Si2y80wmj5huGGH4msCWnUwuNhAP-UnUMQxsqpOmO8najdt4MzoIDSD4t4Usawlngr8nBav9LBWd49uK94pCV-pa2hT5HJAo~3L6cLaXON6P0-wvyNw75MXUvh66nl2Xl55JlMLykGOy5KtXj37bYZ3pVeysqD06CyxVxWvFUSupWzb~9SUeAGUVBXxtg933r7OFX5OA0zH1gZux0DHCeg4hr8fms7WEHS6NLxP5NI57zsRmTJLsF63CGqhZ~-aIn0DUjgkCFisU88-GEDGtjQA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":81,"name":"Ocean Engineering","url":"https://www.academia.edu/Documents/in/Ocean_Engineering"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":471104,"name":"Maritime Engineering","url":"https://www.academia.edu/Documents/in/Maritime_Engineering"}],"urls":[{"id":16191348,"url":"https://api.elsevier.com/content/article/PII:S0029801818300088?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="13629860" id="papers"><div class="js-work-strip profile--work_container" data-work-id="84633199"><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/84633199/Probabilistic_Damage_Stability_for_Passenger_Ships_The_p_Factor_Illusion_and_Reality"><img alt="Research paper thumbnail of Probabilistic Damage Stability for Passenger Ships鈥擳he p-Factor Illusion and Reality" class="work-thumbnail" src="https://attachments.academia-assets.com/89587104/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/84633199/Probabilistic_Damage_Stability_for_Passenger_Ships_The_p_Factor_Illusion_and_Reality">Probabilistic Damage Stability for Passenger Ships鈥擳he p-Factor Illusion and Reality</a></div><div class="wp-workCard_item"><span>Journal of Marine Science and Engineering</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The paper complements an earlier publication by the authors addressing the probability of surviva...</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 paper complements an earlier publication by the authors addressing the probability of survival in the IMO framework for damage stability assessment, the s-factor. The focus here is on the probability of occurrence of a certain damage scenario (breach), conditional on its dimensions and location (centre and port or starboard side), the p-factor. Pertinent assumptions and limitations are explained, following its evolution for specific application to passenger ships. Attempts to provide analytical descriptions of the damage breach distributions as tetrahedra shapes positioned along the ship length whilst accounting for changes in ship geometry, structural arrangements, and subdivision for consumption by the wider profession has led to misconceptions and misunderstandings of what exactly the p-factor is in the context of probabilistic damage stability calculations. This is evidenced by the fact that the same original damage breach distributions, derived in Project HARDER, based on l...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5c94f31984aa281c48560961f9baf34f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":89587104,"asset_id":84633199,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/89587104/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&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="84633199"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84633199"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84633199; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84633199]").text(description); $(".js-view-count[data-work-id=84633199]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84633199; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84633199']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 84633199, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5c94f31984aa281c48560961f9baf34f" } } $('.js-work-strip[data-work-id=84633199]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84633199,"title":"Probabilistic Damage Stability for Passenger Ships鈥擳he p-Factor Illusion and Reality","translated_title":"","metadata":{"abstract":"The paper complements an earlier publication by the authors addressing the probability of survival in the IMO framework for damage stability assessment, the s-factor. The focus here is on the probability of occurrence of a certain damage scenario (breach), conditional on its dimensions and location (centre and port or starboard side), the p-factor. Pertinent assumptions and limitations are explained, following its evolution for specific application to passenger ships. Attempts to provide analytical descriptions of the damage breach distributions as tetrahedra shapes positioned along the ship length whilst accounting for changes in ship geometry, structural arrangements, and subdivision for consumption by the wider profession has led to misconceptions and misunderstandings of what exactly the p-factor is in the context of probabilistic damage stability calculations. This is evidenced by the fact that the same original damage breach distributions, derived in Project HARDER, based on l...","publisher":"MDPI AG","publication_name":"Journal of Marine Science and Engineering"},"translated_abstract":"The paper complements an earlier publication by the authors addressing the probability of survival in the IMO framework for damage stability assessment, the s-factor. The focus here is on the probability of occurrence of a certain damage scenario (breach), conditional on its dimensions and location (centre and port or starboard side), the p-factor. Pertinent assumptions and limitations are explained, following its evolution for specific application to passenger ships. Attempts to provide analytical descriptions of the damage breach distributions as tetrahedra shapes positioned along the ship length whilst accounting for changes in ship geometry, structural arrangements, and subdivision for consumption by the wider profession has led to misconceptions and misunderstandings of what exactly the p-factor is in the context of probabilistic damage stability calculations. This is evidenced by the fact that the same original damage breach distributions, derived in Project HARDER, based on l...","internal_url":"https://www.academia.edu/84633199/Probabilistic_Damage_Stability_for_Passenger_Ships_The_p_Factor_Illusion_and_Reality","translated_internal_url":"","created_at":"2022-08-13T09:06:22.001-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6012405,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":89587104,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/89587104/thumbnails/1.jpg","file_name":"jmse-10-00348.pdf","download_url":"https://www.academia.edu/attachments/89587104/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Probabilistic_Damage_Stability_for_Passe.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/89587104/jmse-10-00348-libre.pdf?1660409626=\u0026response-content-disposition=attachment%3B+filename%3DProbabilistic_Damage_Stability_for_Passe.pdf\u0026Expires=1732497818\u0026Signature=eFXTwwPUcT6-rqwReqEILbAw7I1TnKiDYOT~W9xLv0oySdgb0Ps2DENpoLYnXpIV9sRkkqO4lGTq~qofzlQhlZzpsk08VFo~1T8EUaZBaZx2S8jbL9C2VECrkcKqhRTxmCqEO7iebqktF~GTQqqBFYBC5GhR3nN7uv01uNIWTOCWpnTWeaE3cWNbSTE4klk1G2dvAOJj1W1t0swVd19cRiis5yX1jtRUF7GcOUdkT8aK0BuXUbyv6NAffLdyxXdVwMBegU3ZmeIfjvSstLltI3SyZO4D1x9k2huTrx6F8n-DfQ4lYW~WkSv6FKONdbcw-oF3ci9ClpSiONWRWqSqKQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Probabilistic_Damage_Stability_for_Passenger_Ships_The_p_Factor_Illusion_and_Reality","translated_slug":"","page_count":25,"language":"en","content_type":"Work","owner":{"id":6012405,"first_name":"mujeeb","middle_initials":null,"last_name":"ahmed","page_name":"mujeebahmed","domain_name":"independent","created_at":"2013-10-07T23:19:15.292-07:00","display_name":"mujeeb ahmed","url":"https://independent.academia.edu/mujeebahmed"},"attachments":[{"id":89587104,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/89587104/thumbnails/1.jpg","file_name":"jmse-10-00348.pdf","download_url":"https://www.academia.edu/attachments/89587104/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Probabilistic_Damage_Stability_for_Passe.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/89587104/jmse-10-00348-libre.pdf?1660409626=\u0026response-content-disposition=attachment%3B+filename%3DProbabilistic_Damage_Stability_for_Passe.pdf\u0026Expires=1732497818\u0026Signature=eFXTwwPUcT6-rqwReqEILbAw7I1TnKiDYOT~W9xLv0oySdgb0Ps2DENpoLYnXpIV9sRkkqO4lGTq~qofzlQhlZzpsk08VFo~1T8EUaZBaZx2S8jbL9C2VECrkcKqhRTxmCqEO7iebqktF~GTQqqBFYBC5GhR3nN7uv01uNIWTOCWpnTWeaE3cWNbSTE4klk1G2dvAOJj1W1t0swVd19cRiis5yX1jtRUF7GcOUdkT8aK0BuXUbyv6NAffLdyxXdVwMBegU3ZmeIfjvSstLltI3SyZO4D1x9k2huTrx6F8n-DfQ4lYW~WkSv6FKONdbcw-oF3ci9ClpSiONWRWqSqKQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":89587105,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/89587105/thumbnails/1.jpg","file_name":"jmse-10-00348.pdf","download_url":"https://www.academia.edu/attachments/89587105/download_file","bulk_download_file_name":"Probabilistic_Damage_Stability_for_Passe.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/89587105/jmse-10-00348-libre.pdf?1660409634=\u0026response-content-disposition=attachment%3B+filename%3DProbabilistic_Damage_Stability_for_Passe.pdf\u0026Expires=1732497818\u0026Signature=MLSHkGSR449Gnb6k4vebLU4nwUlBIlL6s0qMck~kGBA6CVU6803LyjaP8ZKoEVYJWRgJMK7aC~VurqtW1gvF9MIsi~iUwt0Mfsz4nKMPSgcD7NfqBEooL8ann9~tzB99inJ3cl8F48Ngrmo98BjZx7ftI-eCAB-lFQINjGplBzfWDhpmBIBMnOPL8G7b5ZcBX3QSS7NtPAuQ3dJDu7BA8gvEXmOAP73xQS8j2-1SmHiZX-EhtjUnmqNCKu3sPCHSUYXNLx3vtKDGcM4knNGYEJeSK~fz85DN1RDcXfl0Wk-OIfKELHmnZwA9CDP3OrD1VnGdzp~qsT1I~gFPWz1dRA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":43610,"name":"Probabilistic Logic","url":"https://www.academia.edu/Documents/in/Probabilistic_Logic"}],"urls":[{"id":22870308,"url":"https://www.mdpi.com/2077-1312/10/3/348/pdf"}]}, 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="84633188"><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/84633188/Conception_and_Evolution_of_the_Probabilistic_Methods_for_Ship_Damage_Stability_and_Flooding_Risk_Assessment"><img alt="Research paper thumbnail of Conception and Evolution of the Probabilistic Methods for Ship Damage Stability and Flooding Risk Assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/89587094/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/84633188/Conception_and_Evolution_of_the_Probabilistic_Methods_for_Ship_Damage_Stability_and_Flooding_Risk_Assessment">Conception and Evolution of the Probabilistic Methods for Ship Damage Stability and Flooding Risk Assessment</a></div><div class="wp-workCard_item"><span>Journal of Marine Science and Engineering</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The paper provides a full description and explanation of the probabilistic method for ship damage...</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 paper provides a full description and explanation of the probabilistic method for ship damage stability assessment from its conception to date with focus on the probability of survival (s-factor), explaining pertinent assumptions and limitations and describing its evolution for specific application to passenger ships, using contemporary numerical and experimental tools and data. It also provides comparisons in results between statistical and direct approaches and makes recommendations on how these can be reconciled with better understanding of the implicit assumptions in the approach for use in ship design and operation. Evolution over the latter years to support pertinent regulatory developments relating to flooding risk (safety level) assessment as well as research in this direction with a focus on passenger ships, have created a new focus that combines all flooding hazards (collision, bottom and side groundings) to assess potential loss of life as a means of guiding further r...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5522a8d1efd01a697891567871f31dd2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":89587094,"asset_id":84633188,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/89587094/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&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="84633188"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84633188"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84633188; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84633188]").text(description); $(".js-view-count[data-work-id=84633188]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84633188; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84633188']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 84633188, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5522a8d1efd01a697891567871f31dd2" } } $('.js-work-strip[data-work-id=84633188]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84633188,"title":"Conception and Evolution of the Probabilistic Methods for Ship Damage Stability and Flooding Risk Assessment","translated_title":"","metadata":{"abstract":"The paper provides a full description and explanation of the probabilistic method for ship damage stability assessment from its conception to date with focus on the probability of survival (s-factor), explaining pertinent assumptions and limitations and describing its evolution for specific application to passenger ships, using contemporary numerical and experimental tools and data. 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Quantitative risk assessment (QRA) is an efficient method for evaluating the collision risk to an offshore installation. In-depth information on collision load parameters, such as incoming ship velocity and impact location, is considered prerequisite for determining the consequences of collisions with accuracy. Thus, the aim of this study is to provide a new probabilistic method for determining collision design loads. Each input parameter is treated by a probability density function, and a set of 50 prospective collision scenarios is generated using Latin hyper cube sampling (LHS) technique. Numerical computations of ship motions are performed to obtain collision load parameters. The probabilistic characteristics of the parameters using a goodness of fit test and an interval study are carried out, and best-fit PDFs and the exceedance curve are plotted. A case study of the proposed method is demonstrated using a hypothetical OSV and an offshore jacket structure located in a hypothetical oceanic region. The details of the computations are documented, and the findings of the study are discussed.","publication_name":"Ocean Engineering","grobid_abstract_attachment_id":78274020},"translated_abstract":null,"internal_url":"https://www.academia.edu/67467716/A_probabilistic_approach_to_determine_design_loads_for_collision_between_an_offshore_supply_vessel_and_offshore_installations","translated_internal_url":"","created_at":"2022-01-06T22:33:14.930-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6012405,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78274020,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78274020/thumbnails/1.jpg","file_name":"A_20probabilistic_20approach_20to_20determine_20design_20loads_20for_20collision_20between_20an_20offshore_20supply_20vessel_20and_20off.pdf","download_url":"https://www.academia.edu/attachments/78274020/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_probabilistic_approach_to_determine_de.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78274020/A_20probabilistic_20approach_20to_20determine_20design_20loads_20for_20collision_20between_20an_20offshore_20supply_20vessel_20and_20off-libre.pdf?1641546717=\u0026response-content-disposition=attachment%3B+filename%3DA_probabilistic_approach_to_determine_de.pdf\u0026Expires=1732497818\u0026Signature=JFIr03bgzB299~5qDw6wppzLnckzQZ-QM25J5hOexzNVIhjDiVQbL3XwfmHbP9XFBF9-2hYYSOIyfQPS-b70MKs7svqq7ESlUmvnXu9MiDv1FEpvhWJAXFf4VGs2Xuo1BVxqpld8E6J~m~sIKC7BMXu3ZC0PhAiGL0xY~~2-4xhqDrUYn4GmW7sg3nsfWbJFJfuwopicjUY6b4tRYKX7McJz7HM5snoFKsGgv2IHosEgg4mZbgrozdhuFHZa~~l673nmscSeBWPaRoB5Dz1EuuGDErmW1swC~ng2LDFykbtHYhJMWJ47JeeRqUfJhzcNgZHpTQQADwui4BFwkzd1XQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_probabilistic_approach_to_determine_design_loads_for_collision_between_an_offshore_supply_vessel_and_offshore_installations","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":6012405,"first_name":"mujeeb","middle_initials":null,"last_name":"ahmed","page_name":"mujeebahmed","domain_name":"independent","created_at":"2013-10-07T23:19:15.292-07:00","display_name":"mujeeb ahmed","url":"https://independent.academia.edu/mujeebahmed"},"attachments":[{"id":78274020,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78274020/thumbnails/1.jpg","file_name":"A_20probabilistic_20approach_20to_20determine_20design_20loads_20for_20collision_20between_20an_20offshore_20supply_20vessel_20and_20off.pdf","download_url":"https://www.academia.edu/attachments/78274020/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_probabilistic_approach_to_determine_de.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78274020/A_20probabilistic_20approach_20to_20determine_20design_20loads_20for_20collision_20between_20an_20offshore_20supply_20vessel_20and_20off-libre.pdf?1641546717=\u0026response-content-disposition=attachment%3B+filename%3DA_probabilistic_approach_to_determine_de.pdf\u0026Expires=1732497818\u0026Signature=JFIr03bgzB299~5qDw6wppzLnckzQZ-QM25J5hOexzNVIhjDiVQbL3XwfmHbP9XFBF9-2hYYSOIyfQPS-b70MKs7svqq7ESlUmvnXu9MiDv1FEpvhWJAXFf4VGs2Xuo1BVxqpld8E6J~m~sIKC7BMXu3ZC0PhAiGL0xY~~2-4xhqDrUYn4GmW7sg3nsfWbJFJfuwopicjUY6b4tRYKX7McJz7HM5snoFKsGgv2IHosEgg4mZbgrozdhuFHZa~~l673nmscSeBWPaRoB5Dz1EuuGDErmW1swC~ng2LDFykbtHYhJMWJ47JeeRqUfJhzcNgZHpTQQADwui4BFwkzd1XQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":81,"name":"Ocean Engineering","url":"https://www.academia.edu/Documents/in/Ocean_Engineering"},{"id":471104,"name":"Maritime Engineering","url":"https://www.academia.edu/Documents/in/Maritime_Engineering"}],"urls":[{"id":16191431,"url":"https://api.elsevier.com/content/article/PII:S002980181832153X?httpAccept=text/xml"}]}, 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="67467488"><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/67467488/Probabilistic_approach_for_collision_risk_analysis_of_powered_vessel_with_offshore_platforms"><img alt="Research paper thumbnail of Probabilistic approach for collision risk analysis of powered vessel with offshore platforms" class="work-thumbnail" src="https://attachments.academia-assets.com/78273878/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/67467488/Probabilistic_approach_for_collision_risk_analysis_of_powered_vessel_with_offshore_platforms">Probabilistic approach for collision risk analysis of powered vessel with offshore platforms</a></div><div class="wp-workCard_item"><span>Ocean Engineering</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cefa26f9840e5b9227dd4dabf78371d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78273878,"asset_id":67467488,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78273878/download_file?st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ5NDIxOCw4LjIyMi4yMDguMTQ2&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="67467488"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67467488"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67467488; 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The main aim of this study was to carry out a probabilistic collision-risk analysis for offshore platforms exposed to powered collisions with passing vessels using an automatic identification system (AIS) database. The paper first describes the statistical distribution of the ship traffic under study and then considers how this information can be effectively used to estimate collision frequencies and impact energies for various categories of vessel, based on a simple probabilistic method. The effects of various collision mitigation measures, such as the use of enhanced collision alarming devices and the ability of platforms to rotate using thrusters, are considered in the frequency calculations. 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