Comparison of Aeroelasic Structural Sizing Approaches for Aircraft Conceptual Design

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Comparison of Aeroelasic Structural Sizing Approaches for Aircraft Conceptual Design | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Comparison of Aeroelasic Structural Sizing Approaches for Aircraft Conceptual Design Hannes Golombek, Jorge Bustamante, Reinhold Maierl, Ingo Staack This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6227073/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The aircraft performance optimization is a very important aspect in the increase of fuel efficiency and therefore ther eduction of environmental impact of air traffic. A possible improvement for the early design process in terms of time effort and accuracy, is the involvement of more accurate, calculation based data instead of statistical based handbook methods. To overcome huge calculation times for high fidelity data acquisition, reduced order models (ROM), which are machine learning models fed with results from higher order models, are a promising solution. In this paper, a process for the automated generation of reduced order models for aeroelastic structural sizing optimizations, using an open-source Python-library is investigated. After methodology development and implementation work, different ROM generating algorithms are applied to a test case. The resulting model can perform the calculation of aeroelastic structural sizing results in seconds, compared to hours for the original calculation method. This enables the calculation of the derivative for an optimization-algorithm and thereby the performing of a ROM-based shape optimization. Reduced Order Models Shape Optimization GEMSEO Lagrange Descartes MDO Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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