ROBUST OPTIMIZATION OF AERODYNAMIC DESIGN USING SURROGATE MODEL

作     者：王宇 余雄庆 Wang Yu;Yu Xiongqing

作者机构：南京航空航天大学航空宇航学院 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2007年第24卷第3期

页      码：181-187页

摘      要：To reduce the high computational cost of the uncertainty analysis, a procedure is proposed for the aerodynamic optimization under uncertainties, in which the surrogate model is used to simplify the computation of the uncertainty analysis. The surrogate model is constructed by using the Latin Hypercube design and the Kriging model. The random parameters are used to account for the small manufacturing errors and the variations of operating conditions. Based on the surrogate model, an uncertainty analysis approach, called the Monte Carlo simulation, is used to compute the mean value and the variance of the predicated performance. The robust optimization for aerodynamic design is formulated, and solved by the genetic algorithm. And then, an airfoil optimization problem is used to test the proposed procedure. Results show that the optimal solutions obtained from the uncertainty-based optimization formulation are less sensitive to uncertainties. And the design constraints are still satisfied under the uncertainties.

主 题 词：surrogate model uncertainty airfoil aerodynamic optimization 

学科分类：080103[080103] 08[工学] 080104[080104] 0802[工学-机械学] 0825[工学-环境科学与工程类] 0704[理学-天文学类] 0801[工学-力学类] 

核心收录：

D　O　I：10.3969/j.issn.1005-1120.2007.03.001

馆 藏 号：203103375...