BlendedNet++ provides a new dataset of 12,492 BWB geometries with RANS-derived Cp and Cf fields and benchmarks geometric deep learning for field prediction plus conditional diffusion models for inverse design achieving R^2 > 0.99 on lift-to-drag targets verified by CFD.
Aerodynamic Design Optimization Studies of a Blended-Wing-Body Aircraft
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Optimizing blended-wing-body aircraft wing half-spans via reachable sets of linear longitudinal dynamics yields up to 30% lower angle-of-attack tracking error on the resulting nonlinear model under reference tracking control.
citing papers explorer
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BlendedNet++: A dataset and benchmark for field-resolved aerodynamics and inverse design of blended wing body aircraft
BlendedNet++ provides a new dataset of 12,492 BWB geometries with RANS-derived Cp and Cf fields and benchmarks geometric deep learning for field prediction plus conditional diffusion models for inverse design achieving R^2 > 0.99 on lift-to-drag targets verified by CFD.
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Reachability-Based Design Optimization for Aircraft Maneuverability
Optimizing blended-wing-body aircraft wing half-spans via reachable sets of linear longitudinal dynamics yields up to 30% lower angle-of-attack tracking error on the resulting nonlinear model under reference tracking control.