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src="https://0.academia-photos.com/3599886/1414327/1736090/s200_narayanan.kulathuramaiyer.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://unimas.academia.edu/NarayananKulathuramaiyer">Narayanan Kulathuramaiyer</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universiti Malaysia Sarawak (UNIMAS)</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="48574426" href="https://www.academia.edu/Documents/in/New_Technology"><div id="js-react-on-rails-context" style="display:none" 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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 Antoine Dumont</h3></div><div class="js-work-strip profile--work_container" data-work-id="33961861"><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/33961861/RANS_simulations_on_TMR_3D_test_cases_with_the_Onera_elsA_flow_solver"><img alt="Research paper thumbnail of RANS simulations on TMR 3D test cases with the Onera elsA flow 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" 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of Adaptive Trailing Edge: Specifications, Aerodynamics, and Exploitation" 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/33961860/Adaptive_Trailing_Edge_Specifications_Aerodynamics_and_Exploitation">Adaptive Trailing Edge: Specifications, Aerodynamics, and Exploitation</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/cedricliauzun">cedric liauzun</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MosheSteinbuch">Moshe Steinbuch</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AlessandroGaspari">Alessandro Gaspari</a></span></div><div class="wp-workCard_item"><span>Smart Intelligent Aircraft Structures (SARISTU)</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="33961860"><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="33961860"><i class="fa fa-spinner 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rel="nofollow" href="https://www.academia.edu/33961858/Estimated_performance_of_an_adaptive_trailing_edge_device_aimed_at_reducing_fuel_consumption_on_a_medium_size_aircraft">Estimated performance of an adaptive trailing-edge device aimed at reducing fuel consumption on a medium-size aircraft</a></div><div class="wp-workCard_item"><span>Industrial and Commercial Applications of Smart Structures Technologies 2013</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This paper deals with the estimation of the performance of a medium-size aircraft (3-hou...</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 This paper deals with the estimation of the performance of a medium-size aircraft (3-hour flight range) equipped with an adaptive trailing edge device (ATED) that runs span-wise from the wing root in the flap zone and extends chord-wise for a limited percentage of the MAC. Computations are calculated referring to the full wing and do not refer to the complete aircraft configuration. Aerodynamic computations, taking into account ideal shapes, have been performed by using both Euler and Navier-Stokes method in order to extract the wing polars for the reference and the optimal wing, implementing an ATED, deflected upwards and downwards. A comparison of the achieved results is discussed. Considering the shape domain, a suitable interpolation procedure has been set up to obtain the wing polar envelop of the adaptive wing, intended as the set of “best” values, picked by each different polar. At the end, the performances of the complete reference and adaptive wing are computed and compared for a symmetric, centered, leveled and steady cruise flight for a medium size aircraft. A significant fuel burn reduction estimate or, alternatively, an increased range capability is demonstrated, with margins of further improvements. The research leading to these results has gratefully received funding from the European Union Seventh Framework Programme (FP7/2007- 2013) under Grant Agreement n° 284562.</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="33961858"><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="33961858"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961858; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="25160739"><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/25160739/Gradient_Based_Single_and_Multi_points_Aerodynamic_Optimizations_with_the_elsA_Software"><img alt="Research paper thumbnail of Gradient-Based Single and Multi-points Aerodynamic Optimizations with the elsA Software" 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/25160739/Gradient_Based_Single_and_Multi_points_Aerodynamic_Optimizations_with_the_elsA_Software">Gradient-Based Single and Multi-points Aerodynamic Optimizations with the elsA Software</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MichaelMeheut">Michael Meheut</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a></span></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="25160739"><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="25160739"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25160739; 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33961857]").text(description); $(".js-view-count[data-work-id=33961857]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33961857; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='33961857']"); 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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The aero-structural adjoint is the extension of the aero-elastic adjoint already used in aerodynamic function optimization. 1 The aero-structural adjoint method allows the improvement of both aerodynamic and structural functions in the same design space. The internal structural element thicknesses (spar webs, caps, skins), the structural characteristics (flexibility) and the planform parameters are all variable in the aero-structural adjoint-based design process. A module for structural modelling, wing weight estimation and adjoint-compatible structural sensitivities computation is presented. The material stresses are aggregated into the Kreisselmeier-Steinhauser function to reduce the high number of design structural constraints. The structural module is integrated with the existing aero-elastic environment for adjoint-based optimizations in order to perform drag and weight optimizations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4f2eb0e5f945b9a9b303eeba9b9be7d9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53919108,"asset_id":33961856,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53919108/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="33961856"><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="33961856"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961856; 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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="25148122"><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/25148122/Two_Dimensional_Aerodynamic_Optimization_Using_the_Discrete_Adjoint_Method_with_or_without_Parameterization"><img alt="Research paper thumbnail of Two-Dimensional Aerodynamic Optimization Using the Discrete Adjoint Method with or without Parameterization" class="work-thumbnail" src="https://attachments.academia-assets.com/45469040/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/25148122/Two_Dimensional_Aerodynamic_Optimization_Using_the_Discrete_Adjoint_Method_with_or_without_Parameterization">Two-Dimensional Aerodynamic Optimization Using the Discrete Adjoint Method with or without Parameterization</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JacquesPeter">Jacques Peter</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a></span></div><div class="wp-workCard_item"><span>20th AIAA Computational Fluid Dynamics Conference</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An optimization method based on the use of the derivatives of functional outputs with respect 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">An optimization method based on the use of the derivatives of functional outputs with respect to (w.r.t.) solid body mesh nodes is presented. These derivatives are obtained by a discrete adjoint method that first computes the derivatives of functional outputs w.r.t. all volume mesh nodes. They are smoothed before being used in a numerical optimization algorithm. The procedure is demonstrated for a 2D flow governed by the compressible Reynolds-Averaged Navier-Stokes equations (RANS) completed by the Spalart-Allmaras turbulence model. Discrete derivatives are computed with or without making the frozen eddy-viscosity assumption. The design algorithm is compared with a more classical one using design variables related to B-splines on the four test cases introduced by Kim et al. 1</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="61b13116b81b578b19b27f84e11c6ab4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45469040,"asset_id":25148122,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45469040/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="25148122"><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="25148122"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25148122; 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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="33961855"><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/33961855/Transonic_Wing_body_Civil_Transport_Aircraft_Aero_Structural_Design_Optimization_using_a_Bi_Level_High_Fidelity_Approach_A_Focus_on_the_Aerodynamic_Process"><img alt="Research paper thumbnail of Transonic Wing-body Civil Transport Aircraft Aero-Structural Design Optimization using a Bi-Level High Fidelity Approach - A Focus on the Aerodynamic Process" 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/33961855/Transonic_Wing_body_Civil_Transport_Aircraft_Aero_Structural_Design_Optimization_using_a_Bi_Level_High_Fidelity_Approach_A_Focus_on_the_Aerodynamic_Process">Transonic Wing-body Civil Transport Aircraft Aero-Structural Design Optimization using a Bi-Level High Fidelity Approach - A Focus on the Aerodynamic Process</a></div><div class="wp-workCard_item"><span>51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Multi-disciplinary analysis dedicated to aircraft design has reached a maturity level th...</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 Multi-disciplinary analysis dedicated to aircraft design has reached a maturity level that allows the scientific community as well as aircraft designers to consider today the integration of optimization problems of higher degree of complexity. Among the multi-level algorithms family, a Bi-Level Integrated System Synthesis (BLISS) type algorithm based on complex systems decomposition has been applied in the present work to a practical demonstration of a bi-level aerostructural optimization of a transonic transport wing-body aircraft configuration. High fidelity adjoint-based approaches are used for performance and sensitivity calculations. The aero-structure optimization process shows that it is possible to improve the performance of the design while maintaining the feasibility for both aerodynamic and structure disciplines at each step of the optimization algorithm.</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="33961855"><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="33961855"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961855; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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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="25148119"><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/25148119/Gradient_Based_Aerodynamic_Optimization_with_the_elsA_Software"><img alt="Research paper thumbnail of Gradient-Based Aerodynamic Optimization with the elsA Software" class="work-thumbnail" src="https://attachments.academia-assets.com/45469055/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/25148119/Gradient_Based_Aerodynamic_Optimization_with_the_elsA_Software">Gradient-Based Aerodynamic Optimization with the elsA Software</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JacquesPeter">Jacques Peter</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MichaelMeheut">Michael Meheut</a></span></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">This paper describes the work performed by ONERA and Airbus to solve several aerodynamic optimiza...</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 describes the work performed by ONERA and Airbus to solve several aerodynamic optimization problems proposed in 2013 by the AIAA Optimization Discussion Group (ADODG). Three of the four test cases defined by this group have been addressed, respectively a 2D invicid, non-lifting, transonic airfoil optimization problem, a 2D RANS transonic airfoil optimization problem and a 3D RANS transonic wing optimization problem. All three problems have been investigated using local, gradient-based, optimization techniques and the elsA[1][2] CFD software and its adjoint capability. Through these three optimization exercises, several generic issues introduced by aerodynamic gradient-based optimization have been investigated. Among the investigated aspects are the impact of the geometry parameterization (nature and dimension), of the accuracy of the gradient calculation method, optimization algorithm and presence of constraints in the optimization problem.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3cf769aa9e9946cd52c6a4a0fb37eab1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45469055,"asset_id":25148119,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45469055/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="25148119"><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="25148119"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25148119; 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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="25148118"><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/25148118/Sensitivity_Analysis_Using_Direct_Differentiation_and_Adjoint_Vector_Methods_for_Helicopter_Rotor_Flow_In_Hover"><img alt="Research paper thumbnail of Sensitivity Analysis Using Direct Differentiation and Adjoint Vector Methods for Helicopter Rotor Flow In Hover" 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/25148118/Sensitivity_Analysis_Using_Direct_Differentiation_and_Adjoint_Vector_Methods_for_Helicopter_Rotor_Flow_In_Hover">Sensitivity Analysis Using Direct Differentiation and Adjoint Vector Methods for Helicopter Rotor Flow In Hover</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JacquesPeter">Jacques Peter</a></span></div><div class="wp-workCard_item"><span>12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper, a discrete direct di erentiation method and a discrete adjoint vector method are s...</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">In this paper, a discrete direct di erentiation method and a discrete adjoint vector method are studied for helicopter rotor flow in hover. The steady state flow equations and the sensitivity analysis equations are reminded. Their discretizations for Euler and Reynolds Average Navier-...</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="25148118"><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="25148118"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25148118; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25148118]").text(description); $(".js-view-count[data-work-id=25148118]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25148118; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25148118']"); 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25148118]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25148118,"title":"Sensitivity Analysis Using Direct Differentiation and Adjoint Vector Methods for Helicopter Rotor Flow In Hover","internal_url":"https://www.academia.edu/25148118/Sensitivity_Analysis_Using_Direct_Differentiation_and_Adjoint_Vector_Methods_for_Helicopter_Rotor_Flow_In_Hover","owner_id":48438319,"coauthors_can_edit":true,"owner":{"id":48438319,"first_name":"Jacques","middle_initials":null,"last_name":"Peter","page_name":"JacquesPeter","domain_name":"independent","created_at":"2016-05-09T00:06:19.936-07:00","display_name":"Jacques Peter","url":"https://independent.academia.edu/JacquesPeter"},"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="33961854"><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/33961854/Aerostructural_Optimization_with_the_Adjoint_Method"><img alt="Research paper thumbnail of Aerostructural Optimization with the Adjoint Method" class="work-thumbnail" src="https://attachments.academia-assets.com/53919106/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/33961854/Aerostructural_Optimization_with_the_Adjoint_Method">Aerostructural Optimization with the Adjoint Method</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Résumé: This paper presents the current developments performed at ONERA to extend the aeroelastic...</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">Résumé: This paper presents the current developments performed at ONERA to extend the aeroelastic adjoint method in the CFD software elsA towards an aerostructural adjoint. Because multiobjective and multipoint optimizations require an aerostructural design ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="df4e9b06a228e49f0e32aac0a0da9f7d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53919106,"asset_id":33961854,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53919106/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="33961854"><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="33961854"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961854; 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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="25148116"><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/25148116/Aerodynamic_Shape_Optimization_of_Hovering_Rotors_Using_a_Discrete_Adjoint_of_the_Reynolds_Averaged_Navier_Stokes_Equations"><img alt="Research paper thumbnail of Aerodynamic Shape Optimization of Hovering Rotors Using a Discrete Adjoint of the Reynolds-Averaged Navier—Stokes Equations" 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/25148116/Aerodynamic_Shape_Optimization_of_Hovering_Rotors_Using_a_Discrete_Adjoint_of_the_Reynolds_Averaged_Navier_Stokes_Equations">Aerodynamic Shape Optimization of Hovering Rotors Using a Discrete Adjoint of the Reynolds-Averaged Navier—Stokes Equations</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JacquesPeter">Jacques Peter</a></span></div><div class="wp-workCard_item"><span>Journal of the American Helicopter Society</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT A gradient-based method using a discrete adjoint of the Reynolds-averaged Navier-Stokes ...</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 A gradient-based method using a discrete adjoint of the Reynolds-averaged Navier-Stokes (RANS) equations is applied to the problem of helicopter blade shape optimization in hover. First, the RANS equations expressed in a specific coordinate system, adapted to the problem of a hovering rotor, are introduced. Then the numerical scheme used to solve the flow equations and the discrete adjoint equation is presented. They are then used within a gradient-based optimizer to perform rotor shape optimizations. The method is applied to the planform optimization of two different rotor blades: a classical rectangular blade and an innovative double swept blade planform. Design variables define the twist, chord, anhedral, and sweep distributions over the blade span, and the objective of the optimization is to improve the rotor figure of merit. The method demonstrated its efficiency in terms of central processing unit time and memory requirement and succeeded in providing interesting rotor blade shapes. The main interest of the present method is its ability to perform local optimization of isolated rotor in hover using an accurate computational fluid dynamics model and accounting for a large number of shape parameters.</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="25148116"><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="25148116"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25148116; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="5200599" id="papers"><div class="js-work-strip profile--work_container" data-work-id="33961861"><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/33961861/RANS_simulations_on_TMR_3D_test_cases_with_the_Onera_elsA_flow_solver"><img alt="Research paper thumbnail of RANS simulations on TMR 3D test cases with the Onera elsA flow 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/33961861/RANS_simulations_on_TMR_3D_test_cases_with_the_Onera_elsA_flow_solver">RANS simulations on TMR 3D test cases with the Onera elsA flow solver</a></div><div class="wp-workCard_item"><span>54th AIAA Aerospace Sciences Meeting</span><span>, 2016</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="33961861"><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="33961861"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961861; 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$(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="33961858"><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/33961858/Estimated_performance_of_an_adaptive_trailing_edge_device_aimed_at_reducing_fuel_consumption_on_a_medium_size_aircraft"><img alt="Research paper thumbnail of Estimated performance of an adaptive trailing-edge device aimed at reducing fuel consumption on a medium-size aircraft" 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/33961858/Estimated_performance_of_an_adaptive_trailing_edge_device_aimed_at_reducing_fuel_consumption_on_a_medium_size_aircraft">Estimated performance of an adaptive trailing-edge device aimed at reducing fuel consumption on a medium-size aircraft</a></div><div class="wp-workCard_item"><span>Industrial and Commercial Applications of Smart Structures Technologies 2013</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This paper deals with the estimation of the performance of a medium-size aircraft (3-hou...</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 This paper deals with the estimation of the performance of a medium-size aircraft (3-hour flight range) equipped with an adaptive trailing edge device (ATED) that runs span-wise from the wing root in the flap zone and extends chord-wise for a limited percentage of the MAC. Computations are calculated referring to the full wing and do not refer to the complete aircraft configuration. Aerodynamic computations, taking into account ideal shapes, have been performed by using both Euler and Navier-Stokes method in order to extract the wing polars for the reference and the optimal wing, implementing an ATED, deflected upwards and downwards. A comparison of the achieved results is discussed. Considering the shape domain, a suitable interpolation procedure has been set up to obtain the wing polar envelop of the adaptive wing, intended as the set of “best” values, picked by each different polar. At the end, the performances of the complete reference and adaptive wing are computed and compared for a symmetric, centered, leveled and steady cruise flight for a medium size aircraft. A significant fuel burn reduction estimate or, alternatively, an increased range capability is demonstrated, with margins of further improvements. The research leading to these results has gratefully received funding from the European Union Seventh Framework Programme (FP7/2007- 2013) under Grant Agreement n° 284562.</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="33961858"><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="33961858"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961858; 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="25160739"><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/25160739/Gradient_Based_Single_and_Multi_points_Aerodynamic_Optimizations_with_the_elsA_Software"><img alt="Research paper thumbnail of Gradient-Based Single and Multi-points Aerodynamic Optimizations with the elsA Software" 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/25160739/Gradient_Based_Single_and_Multi_points_Aerodynamic_Optimizations_with_the_elsA_Software">Gradient-Based Single and Multi-points Aerodynamic Optimizations with the elsA Software</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MichaelMeheut">Michael Meheut</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a></span></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="25160739"><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="25160739"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25160739; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=33961857]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":33961857,"title":"RANS simulations on TMR test cases and M6 wing with the Onera elsA flow solver (Invited)","internal_url":"https://www.academia.edu/33961857/RANS_simulations_on_TMR_test_cases_and_M6_wing_with_the_Onera_elsA_flow_solver_Invited_","owner_id":48574426,"coauthors_can_edit":true,"owner":{"id":48574426,"first_name":"Antoine","middle_initials":null,"last_name":"Dumont","page_name":"AntoineDumont2","domain_name":"independent","created_at":"2016-05-11T08:22:58.123-07:00","display_name":"Antoine Dumont","url":"https://independent.academia.edu/AntoineDumont2"},"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="33961856"><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/33961856/Aerostructural_Adjoint_Method_for_Flexible_Wing_Optimization"><img alt="Research paper thumbnail of Aerostructural Adjoint Method for Flexible Wing Optimization" class="work-thumbnail" src="https://attachments.academia-assets.com/53919108/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/33961856/Aerostructural_Adjoint_Method_for_Flexible_Wing_Optimization">Aerostructural Adjoint Method for Flexible Wing Optimization</a></div><div class="wp-workCard_item"><span>53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference&lt;BR&gt;20th AIAA/ASME/AHS Adaptive Structures Conference&lt;BR&gt;14th AIAA</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents the current developments at ONERA on wing optimization via the aero-structura...</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 presents the current developments at ONERA on wing optimization via the aero-structural adjoint method. The aero-structural adjoint is the extension of the aero-elastic adjoint already used in aerodynamic function optimization. 1 The aero-structural adjoint method allows the improvement of both aerodynamic and structural functions in the same design space. The internal structural element thicknesses (spar webs, caps, skins), the structural characteristics (flexibility) and the planform parameters are all variable in the aero-structural adjoint-based design process. A module for structural modelling, wing weight estimation and adjoint-compatible structural sensitivities computation is presented. The material stresses are aggregated into the Kreisselmeier-Steinhauser function to reduce the high number of design structural constraints. The structural module is integrated with the existing aero-elastic environment for adjoint-based optimizations in order to perform drag and weight optimizations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4f2eb0e5f945b9a9b303eeba9b9be7d9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53919108,"asset_id":33961856,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53919108/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="33961856"><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="33961856"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961856; 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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="25148122"><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/25148122/Two_Dimensional_Aerodynamic_Optimization_Using_the_Discrete_Adjoint_Method_with_or_without_Parameterization"><img alt="Research paper thumbnail of Two-Dimensional Aerodynamic Optimization Using the Discrete Adjoint Method with or without Parameterization" class="work-thumbnail" src="https://attachments.academia-assets.com/45469040/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/25148122/Two_Dimensional_Aerodynamic_Optimization_Using_the_Discrete_Adjoint_Method_with_or_without_Parameterization">Two-Dimensional Aerodynamic Optimization Using the Discrete Adjoint Method with or without Parameterization</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JacquesPeter">Jacques Peter</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a></span></div><div class="wp-workCard_item"><span>20th AIAA Computational Fluid Dynamics Conference</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An optimization method based on the use of the derivatives of functional outputs with respect 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">An optimization method based on the use of the derivatives of functional outputs with respect to (w.r.t.) solid body mesh nodes is presented. These derivatives are obtained by a discrete adjoint method that first computes the derivatives of functional outputs w.r.t. all volume mesh nodes. They are smoothed before being used in a numerical optimization algorithm. The procedure is demonstrated for a 2D flow governed by the compressible Reynolds-Averaged Navier-Stokes equations (RANS) completed by the Spalart-Allmaras turbulence model. Discrete derivatives are computed with or without making the frozen eddy-viscosity assumption. The design algorithm is compared with a more classical one using design variables related to B-splines on the four test cases introduced by Kim et al. 1</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="61b13116b81b578b19b27f84e11c6ab4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45469040,"asset_id":25148122,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45469040/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="25148122"><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="25148122"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25148122; 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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="33961855"><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/33961855/Transonic_Wing_body_Civil_Transport_Aircraft_Aero_Structural_Design_Optimization_using_a_Bi_Level_High_Fidelity_Approach_A_Focus_on_the_Aerodynamic_Process"><img alt="Research paper thumbnail of Transonic Wing-body Civil Transport Aircraft Aero-Structural Design Optimization using a Bi-Level High Fidelity Approach - A Focus on the Aerodynamic Process" 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/33961855/Transonic_Wing_body_Civil_Transport_Aircraft_Aero_Structural_Design_Optimization_using_a_Bi_Level_High_Fidelity_Approach_A_Focus_on_the_Aerodynamic_Process">Transonic Wing-body Civil Transport Aircraft Aero-Structural Design Optimization using a Bi-Level High Fidelity Approach - A Focus on the Aerodynamic Process</a></div><div class="wp-workCard_item"><span>51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Multi-disciplinary analysis dedicated to aircraft design has reached a maturity level th...</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 Multi-disciplinary analysis dedicated to aircraft design has reached a maturity level that allows the scientific community as well as aircraft designers to consider today the integration of optimization problems of higher degree of complexity. Among the multi-level algorithms family, a Bi-Level Integrated System Synthesis (BLISS) type algorithm based on complex systems decomposition has been applied in the present work to a practical demonstration of a bi-level aerostructural optimization of a transonic transport wing-body aircraft configuration. High fidelity adjoint-based approaches are used for performance and sensitivity calculations. The aero-structure optimization process shows that it is possible to improve the performance of the design while maintaining the feasibility for both aerodynamic and structure disciplines at each step of the optimization algorithm.</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="33961855"><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="33961855"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961855; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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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="25148119"><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/25148119/Gradient_Based_Aerodynamic_Optimization_with_the_elsA_Software"><img alt="Research paper thumbnail of Gradient-Based Aerodynamic Optimization with the elsA Software" class="work-thumbnail" src="https://attachments.academia-assets.com/45469055/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/25148119/Gradient_Based_Aerodynamic_Optimization_with_the_elsA_Software">Gradient-Based Aerodynamic Optimization with the elsA Software</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JacquesPeter">Jacques Peter</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MichaelMeheut">Michael Meheut</a></span></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">This paper describes the work performed by ONERA and Airbus to solve several aerodynamic optimiza...</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 describes the work performed by ONERA and Airbus to solve several aerodynamic optimization problems proposed in 2013 by the AIAA Optimization Discussion Group (ADODG). Three of the four test cases defined by this group have been addressed, respectively a 2D invicid, non-lifting, transonic airfoil optimization problem, a 2D RANS transonic airfoil optimization problem and a 3D RANS transonic wing optimization problem. All three problems have been investigated using local, gradient-based, optimization techniques and the elsA[1][2] CFD software and its adjoint capability. Through these three optimization exercises, several generic issues introduced by aerodynamic gradient-based optimization have been investigated. Among the investigated aspects are the impact of the geometry parameterization (nature and dimension), of the accuracy of the gradient calculation method, optimization algorithm and presence of constraints in the optimization problem.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3cf769aa9e9946cd52c6a4a0fb37eab1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45469055,"asset_id":25148119,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45469055/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="25148119"><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="25148119"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25148119; 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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="25148118"><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/25148118/Sensitivity_Analysis_Using_Direct_Differentiation_and_Adjoint_Vector_Methods_for_Helicopter_Rotor_Flow_In_Hover"><img alt="Research paper thumbnail of Sensitivity Analysis Using Direct Differentiation and Adjoint Vector Methods for Helicopter Rotor Flow In Hover" 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/25148118/Sensitivity_Analysis_Using_Direct_Differentiation_and_Adjoint_Vector_Methods_for_Helicopter_Rotor_Flow_In_Hover">Sensitivity Analysis Using Direct Differentiation and Adjoint Vector Methods for Helicopter Rotor Flow In Hover</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JacquesPeter">Jacques Peter</a></span></div><div class="wp-workCard_item"><span>12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper, a discrete direct di erentiation method and a discrete adjoint vector method are s...</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">In this paper, a discrete direct di erentiation method and a discrete adjoint vector method are studied for helicopter rotor flow in hover. The steady state flow equations and the sensitivity analysis equations are reminded. Their discretizations for Euler and Reynolds Average Navier-...</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="25148118"><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="25148118"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25148118; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25148118]").text(description); $(".js-view-count[data-work-id=25148118]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25148118; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25148118']"); 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25148118]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25148118,"title":"Sensitivity Analysis Using Direct Differentiation and Adjoint Vector Methods for Helicopter Rotor Flow In Hover","internal_url":"https://www.academia.edu/25148118/Sensitivity_Analysis_Using_Direct_Differentiation_and_Adjoint_Vector_Methods_for_Helicopter_Rotor_Flow_In_Hover","owner_id":48438319,"coauthors_can_edit":true,"owner":{"id":48438319,"first_name":"Jacques","middle_initials":null,"last_name":"Peter","page_name":"JacquesPeter","domain_name":"independent","created_at":"2016-05-09T00:06:19.936-07:00","display_name":"Jacques Peter","url":"https://independent.academia.edu/JacquesPeter"},"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="33961854"><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/33961854/Aerostructural_Optimization_with_the_Adjoint_Method"><img alt="Research paper thumbnail of Aerostructural Optimization with the Adjoint Method" class="work-thumbnail" src="https://attachments.academia-assets.com/53919106/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/33961854/Aerostructural_Optimization_with_the_Adjoint_Method">Aerostructural Optimization with the Adjoint Method</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Résumé: This paper presents the current developments performed at ONERA to extend the aeroelastic...</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">Résumé: This paper presents the current developments performed at ONERA to extend the aeroelastic adjoint method in the CFD software elsA towards an aerostructural adjoint. Because multiobjective and multipoint optimizations require an aerostructural design ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="df4e9b06a228e49f0e32aac0a0da9f7d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53919106,"asset_id":33961854,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53919106/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="33961854"><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="33961854"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33961854; 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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="25148116"><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/25148116/Aerodynamic_Shape_Optimization_of_Hovering_Rotors_Using_a_Discrete_Adjoint_of_the_Reynolds_Averaged_Navier_Stokes_Equations"><img alt="Research paper thumbnail of Aerodynamic Shape Optimization of Hovering Rotors Using a Discrete Adjoint of the Reynolds-Averaged Navier—Stokes Equations" 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/25148116/Aerodynamic_Shape_Optimization_of_Hovering_Rotors_Using_a_Discrete_Adjoint_of_the_Reynolds_Averaged_Navier_Stokes_Equations">Aerodynamic Shape Optimization of Hovering Rotors Using a Discrete Adjoint of the Reynolds-Averaged Navier—Stokes Equations</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AntoineDumont2">Antoine Dumont</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JacquesPeter">Jacques Peter</a></span></div><div class="wp-workCard_item"><span>Journal of the American Helicopter Society</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT A gradient-based method using a discrete adjoint of the Reynolds-averaged Navier-Stokes ...</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 A gradient-based method using a discrete adjoint of the Reynolds-averaged Navier-Stokes (RANS) equations is applied to the problem of helicopter blade shape optimization in hover. First, the RANS equations expressed in a specific coordinate system, adapted to the problem of a hovering rotor, are introduced. Then the numerical scheme used to solve the flow equations and the discrete adjoint equation is presented. They are then used within a gradient-based optimizer to perform rotor shape optimizations. The method is applied to the planform optimization of two different rotor blades: a classical rectangular blade and an innovative double swept blade planform. Design variables define the twist, chord, anhedral, and sweep distributions over the blade span, and the objective of the optimization is to improve the rotor figure of merit. The method demonstrated its efficiency in terms of central processing unit time and memory requirement and succeeded in providing interesting rotor blade shapes. The main interest of the present method is its ability to perform local optimization of isolated rotor in hover using an accurate computational fluid dynamics model and accounting for a large number of shape parameters.</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="25148116"><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="25148116"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25148116; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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