아음속 기저면 압력 예측 개선을 위한 κ-ω SST 난류 모델상수의 Bayesian Optimization

Abstract

In this study, we present a set of the closure coefficients of the κ-ω SST turbulence model for improved predictions of base pressure coefficient in subsonic speeds. To this end, Bayesian optimization over the closure coefficients of the turbulence model is performed for the average base pressure coefficient of Merz’s experiment. In addition, flow simulations of SOC and SOCBT projectile have been performed with the optimized turbulence model.