关键词: 高斯函数, 信赖域更新, 多学科设计优化, 响应面法, Kriging模型, 涡轮盘

Abstract: In order to set up an accurate and efficient response surface model while satisfying engineering precision requirements, after analyzing basic features of existing response surface modeling methods, Kriging response surface method based on Gauss function and trust region update approach was put forward. Gauss function was adopted as the correlation function for different designs, and the trust region update approach was utilized to adjust the sampling region of experiment design in the optimization process. The proposed method was applied in four well-known test functions and a thermal-structural optimization of a general turbine disc. The results demonstrated the effectiveness of this method.

Key words: Gauss function, trust region update, multidisciplinary design optimization, response surface method, Kriging model