High-lift system optimization based on the Kriging model using a high-fidelity flow solver

Abstract

In this paper, the design optimization procedure of a three-element wing setting is discussed. The positions of elements are determined using a response surface method based on the Kriging model. The Kriging model is updated based on expected improvement (EI) value maximization in the design space using a distributed genetic algorithm (DGA). Sample points for the Kriging model are evaluated using Reynolds Averaged Navier-Stokes simulation (RANS). The present method is applied successfully for the optimization, where the objective function is to maximize the lift-todrag ratio (L/D). © 2006 The Japan Society for Aeronautical and Space Sciences.