Multidimensional aerodynamic variable-fidelity surrogate model for the conceptual aircraft design with UNICADO

Multidimensional Aerodynamic Variable-Fidelity Surrogate Model for Conceptual Aircraft Design with UNICADO | 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 Multidimensional Aerodynamic Variable-Fidelity Surrogate Model for Conceptual Aircraft Design with UNICADO Maurice Zimmnau, David Stenger, Armin Lindicke, Anna Uhl, Eike Stumpf This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7014217/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract In this contribution, surrogate models of variable fidelity based on Gaussian Process Regression, applied to the aerodynamic analysis within the context of conceptual aircraft design are presented. The approximated functional relations are $C_D = f(C_L)$ for the one-dimensional case and $C_D = f(C_L, h, \text{Ma})$ for the three-dimensional case. For the low-fidelity aerodynamic analysis semi-empirical methods combined with a multi-lifting-line method are used. The higher-fidelity model is based on Reynolds-averaged Navier-Stokes computational fluid dynamics simulations. The surrogate model is constructed by combining the low-fidelity and higher-fidelity models. Furthermore a mission-informed sampling strategy is presented, which reduces the model uncertainty at flight conditions of interest. Finally, the impact of the utilization of enhanced polars is evaluated by comparing the resulting fuel burn on different off-design missions with those simulated missions performed with the low-fidelity polars. Conceptual aircraft design Computational Fluid Dynamics Gaussian Process Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions 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. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7014217","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[{"code":1,"date":"2025-10-31 07:21:53","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":false,"email":"[email protected]","identity":"ceas-aeronautical-journal","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"canj","sideBox":"Learn more about [CEAS Aeronautical Journal](http://link.springer.com/journal/13272)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/canj/default.aspx","title":"CEAS Aeronautical 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