Aerostructural Design of a Laminar Dry Wing for Hydrogen Aircraft using Multidisciplinary Bayesian Optimization

Aerostructural Design of a Laminar Dry Wing for Hydrogen Aircraft using Multidisciplinary Bayesian Optimization | 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 Aerostructural Design of a Laminar Dry Wing for Hydrogen Aircraft using Multidisciplinary Bayesian Optimization Samarth Kakkar, Wolfgang Heinze, Matthias Haupt, Rolf Radespiel This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8682059/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 Exploring the potential of using hydrogen as energy carrier is in the current focus of research into sustainable aviation. The absence of fuel from the wing constitutes an important feature of hydrogen aircraft as opposed to their kerosene-based counterparts, potentially paving a way to unexplored design boundaries. The midfidelity preliminary design of such a ’dry’ wing for a medium-range hydrogen aircraft, operating at Mach 0.78 is undertaken in this work. A carbon-fibre reinforced plastic (CFRP) wing equipped with a hybrid laminar flow control (HLFC) suction system is assumed for enhanced weight and viscous drag reductions, thereby requiring a holistic aerostructural design of a composite laminar dry wing. The aerodynamics is modelled with a conical flow 2.75D approach using Euler-boundary layer equations, while the structural sizing is performed using linear finite element formulation on a structural shell model. Considering the aerostructural design variables for such a wing, namely the planform geometry, the airfoil profiles, the lift distribution and the suction distributions led to a 116 dimensional multidisciplinary optimization problem, which had to be resolved in the absence of any gradient information. The application of Bayesian optimization in synergy with a modified individual discipline feasible (IDF) architecture for successfully overcoming a huge challenge in terms of performing a highdimensional gradient-free wing design is the core focus of this study. The resulting laminar wing exhibits a fuel mass saving of 8.8% in comparison to an optimized turbulent wing with robust aerodynamic performance within a suitable design range obtained via multi-point optimization. Aeronautics and Astronautics Hydrogen aircraft Dry wing Aerostructural design Multidisciplinary Bayesian optimization Hybrid laminar flow control Mid-fidelity design Full Text Additional Declarations The authors declare no competing interests. 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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