A multi-objective optimization framework for hypersonic aerothermoelastic scaling laws and its application to skin panels

This study describes the development of an optimization framework for generating hypersonic aerothermoelastic scaling laws using a novel two-pronged approach. The approach combines classical scaling based on dimensional analysis with augmentation from numerical simulations of the specific problem. Combined comparison and adjustment of the full-scale prototype and the scaled model yields the refinement of the scaling laws. The search for an aerothermoelastically scaled model is formulated as an multi-objective optimization problem, which is solved using a multi-objective Bayesian optimization algorithm. The effectiveness of the two-pronged approach is demonstrated by its application to the development of refined hypersonic aerothermoelastic scaling laws for a composite skin panel configuration.