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(PDF) Validating surrogate models and incorporating uncertainty quantification in multi-element airfoil design optimisation | Davide Di Pasquale - Academia.edu
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Specifically, it focuses on the development and validation of surrogate models, as well as their integration with optimisation" /> <title>(PDF) Validating surrogate models and incorporating uncertainty quantification in multi-element airfoil design optimisation | Davide Di Pasquale - Academia.edu</title> <link rel="canonical" href="https://www.academia.edu/91354012/Validating_surrogate_models_and_incorporating_uncertainty_quantification_in_multi_element_airfoil_design_optimisation" /> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "single_work", 'action': "show", 'controller_action': 'single_work#show', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script> var $controller_name = 'single_work'; var $action_name = "show"; var $rails_env = 'production'; var $app_rev = '2f444c8e4ed6011e01999d24d77abd5ec19178fb'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.require = { config: function() { return function() {} } } </script> <script> window.Aedu = window.Aedu || {}; window.Aedu.hit_data = null; window.Aedu.serverRenderTime = new Date(1732740236000); window.Aedu.timeDifference = new Date().getTime() - 1732740236000; </script> <script type="application/ld+json">{"@context":"https://schema.org","@type":"ScholarlyArticle","abstract":"This work deals with the aerodynamics optimisation of a generic two-dimensional three element high-lift configuration. Specifically, it focuses on the development and validation of surrogate models, as well as their integration with optimisation algorithms, uncertainty quantification method, and other computational design tools in order to define and develop a better design methodology for high-lift systems. Special emphasis is put into the process itself to make it fast and highly automated yet keeping accuracy uncompromised. Although the high-lift system is applied only during take-off and landing in the low speed phase of the flight the cost efficiency of the airplane is greatly influenced by it. The ultimate goal of an aircraft high-lift system design team is to define the simplest configuration which, for prescribed constraints, will meet the take-off, climb, and landing requirements usually expressed in terms of maximum L/D and/or maximum CL. 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with the aerodynamics optimisation of a generic two-dimensional three element high-lift configuration. Specifically, it focuses on the development and validation of surrogate models, as well as their integration with optimisation algorithms, uncertainty quantification method, and other computational design tools in order to define and develop a better design methodology for high-lift systems. Special emphasis is put into the process itself to make it fast and highly automated yet keeping accuracy uncompromised. Although the high-lift system is applied only during take-off and landing in the low speed phase of the flight the cost efficiency of the airplane is greatly influenced by it. The ultimate goal of an aircraft high-lift system design team is to define the simplest configuration which, for prescribed constraints, will meet the take-off, climb, and landing requirements usually expressed in terms of maximum L/D and/or maximum CL. 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const worksViewsPath = "/v0/works/views?subdomain_param=api&work_ids%5B%5D=91354012"; const getWorkViews = async (workId) => { const response = await fetch(worksViewsPath); if (!response.ok) { throw new Error('Failed to load work views'); } const data = await response.json(); return data.views[workId]; }; // Get the view count for the work - we send this immediately rather than waiting for // the DOM to load, so it can be available as soon as possible (but without holding up // the backend or other resource requests, because it's a bit expensive and not critical). const viewCount = await getWorkViews(workId); const updateViewCount = (viewCount) => { const viewCountNumber = Number(viewCount); if (!viewCountNumber) { throw new Error('Failed to parse view count'); } const commaizedViewCount = viewCountNumber.toLocaleString(); const viewCountBody = document.getElementById('work-metadata-view-count'); if (viewCountBody) { viewCountBody.textContent = `${commaizedViewCount} views`; } else { throw new Error('Failed to find work views element'); } }; // If the DOM is still loading, wait for it to be ready before updating the view count. if (document.readyState === "loading") { document.addEventListener('DOMContentLoaded', () => { updateViewCount(viewCount); }); // Otherwise, just update it immediately. } else { updateViewCount(viewCount); } })();</script></div><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">This work deals with the aerodynamics optimisation of a generic two-dimensional three element high-lift configuration. Specifically, it focuses on the development and validation of surrogate models, as well as their integration with optimisation algorithms, uncertainty quantification method, and other computational design tools in order to define and develop a better design methodology for high-lift systems. Special emphasis is put into the process itself to make it fast and highly automated yet keeping accuracy uncompromised. Although the high-lift system is applied only during take-off and landing in the low speed phase of the flight the cost efficiency of the airplane is greatly influenced by it. The ultimate goal of an aircraft high-lift system design team is to define the simplest configuration which, for prescribed constraints, will meet the take-off, climb, and landing requirements usually expressed in terms of maximum L/D and/or maximum CL. The ability of the calculation met...</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":94665257,"attachmentType":"pdf","workUrl":"https://www.academia.edu/91354012/Validating_surrogate_models_and_incorporating_uncertainty_quantification_in_multi_element_airfoil_design_optimisation"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":94665257,"attachmentType":"pdf","workUrl":"https://www.academia.edu/91354012/Validating_surrogate_models_and_incorporating_uncertainty_quantification_in_multi_element_airfoil_design_optimisation"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div></div><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-doc_id="94665257" data-landing_url="https://www.academia.edu/91354012/Validating_surrogate_models_and_incorporating_uncertainty_quantification_in_multi_element_airfoil_design_optimisation" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="ds-top-related-works--grid-container"><div class="ds-related-content--container ds-top-related-works--container"><h2 class="ds-related-content--heading">Related papers</h2><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="0" data-entity-id="68789239" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/68789239/Integrated_system_to_perform_surrogate_based_aerodynamic_optimisation_for_high_lift_airfoil">Integrated system to perform surrogate based aerodynamic optimisation for high-lift airfoil</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="47895360" href="https://cranfield.academia.edu/DavideDiPasquale">Davide Di Pasquale</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2016</p><p class="ds-related-work--abstract ds2-5-body-sm">1. Abstract This work deals with the aerodynamics optimisation of a generic two-dimensional three element high-lift configuration. Although the high-lift system is applied only during take-off and landing in the low speed phase of the flight the cost efficiency of the airplane is strongly influenced by it [1]. The ultimate goal of an aircraft high lift system design team is to define the simplest configuration which, for prescribed constraints, will meet the take-off, climb, and landing requirements usually expressed in terms of maximum L/D and/or maximum CL. The ability of the calculation method to accurately predict changes in objective function value when gaps, overlaps and element deflections are varied is therefore critical. Despite advances in computer capacity, the enormous computational cost of running complex engineering simulations makes it impractical to rely exclusively on simulation for the purpose of design optimisation. To cut down the cost, surrogate models, also kno...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Integrated system to perform surrogate based aerodynamic optimisation for high-lift airfoil","attachmentId":79140113,"attachmentType":"pdf","work_url":"https://www.academia.edu/68789239/Integrated_system_to_perform_surrogate_based_aerodynamic_optimisation_for_high_lift_airfoil","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/68789239/Integrated_system_to_perform_surrogate_based_aerodynamic_optimisation_for_high_lift_airfoil"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="19835504" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/19835504/Optimization_Strategies_for_High_Lift_Design">Optimization Strategies for High-Lift Design</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="40608333" href="https://independent.academia.edu/PierluigiIannelli">Pierluigi Iannelli</a></div><p class="ds-related-work--abstract ds2-5-body-sm">The present paper reports the main outcomes of an activity performed within the DeSiReH project, a European Funded Collaborative Project under the 7th Framework Program devoted to improving the industrial design process for laminar high-lift wings. 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