Mixed-Fidelity Efficient Global Optimization Applied to Design of Supersonic Wing

Multidisciplinary design optimizations are practical key technology for the efficient design of a supersonic transport (SST). However, the computational cost should be expensive with high fidelity flow solver. Thus, the surrogate models such as the Kriging method is one of the promising technique. On the other hand, the computational cost still expensive, because a lot of CFD runs is required to achieve global search with high-fidelity solver. In this study, to develop higher efficient global exploration method, it was considered that a fusion of the database by a low cost/low fidelity solver and a high cost/high fidelity solve using Kriging model. A test problem and a design problem of the wing of SST was carried out to investigate the efficiency of the proposed method. In the design of the SST, the liner potential solver and the structured Euler solver was employed. According to the result, the total computational cost was drastically reduced while the same optimum solution can be explored as a single-fidelity optimization. (C) 2013 The Authors. Published by Elsevier Ltd.