Conceptual exploration of two-dimensional hypersonic configuration based on aerodynamic topology

Abstract

Due to the biomimetic design paradigm reaching its limit in this speed domain, what the configuration of hypersonic aircraft should be is a question that needs to be explored. In order to achieve generative design that does not rely on prior knowledge, an aerodynamic topology design method based on parameterized level set method (PLSM) and adaptive genetic algorithm (AGA) was established to explore the potential forms of two-dimensional hypersonic configurations. Singularities inherent in aerodynamic topological configurations were systematically classified and identified, with invalid specimens filtered using discrimination algorithms. The results indicate that aerodynamic topology design can obtain various complex topology structures, and some configurations during the optimization process exhibit similar results and flow mechanisms to those of artificially innovative designs such as high-pressure capture wings. The effects of constraints on optimization outcomes were comparatively analyzed. It indicates that aerodynamic topology design can perform generative design without relying on design experience, and that this design paradigm has the potential to explore new conceptual aerodynamic configurations for aircraft.