03.4 - Applied Aerodynamics
SPARSE POLYNOMIAL CHAOS-BASED ROBUST OPTIMIZATION DESIGN OF AERODYNAMIC AND SONIC BOOM
S.K. Wang¹, H. Zhao¹; ¹Northwestern Polytechnical University, China
This work presents a sparse polynomial chaos based framework for robust aerodynamic and sonic boom optimization design under multi-source uncertainty. The method enables uncertainty quantification and robust optimization design with limited samples, reducing computational cost while enhancing the robustness of aerodynamic and sonic boom designs under uncertain flight and atmospheric conditions.