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View Video Presentation: https://doi.org/10.2514/6.2023-3944.vid

This research focuses on the development and implementation of a deep-learning-based Transonic Flutter Constraint Model for the Multidisciplinary Design Optimization (MDO) of Truss-Braced Wing (TBW) aircraft. TBW configurations, as next-generation aircraft, demand accurate flutter analysis in the transonic flight regime. High-fidelity Computational Fluid Dynamics (CFD) methods, although accurate, are very computationally expensive and unsuitable for MDO. The study investigates the use of extended indicial function-based flutter analysis via aerodynamic strip theory for 3D wings as a potential replacement for CFD. However, this analytical method still entails significant computation time. As a solution, a deep-learning-based flutter model is developed as a surrogate for reducing computational costs. The research highlights the challenges of …