A surrogate-model based multidisciplinary shape optimization method with application to a 2D subsonic airfoil

被引：79
|
作者：
Jouhaud, J. -C.
Sagaut, P.
Montagnac, M.
Laurenceau, J.
机构：
[1] CERFACS, European Ctr Res & Format Adv Computat, F-31057 Toulouse 01, France
[2] Univ Paris 06, Modelisat Mecan Lab, F-75252 Paris 5, France
来源：
COMPUTERS & FLUIDS | 2007年 / 36卷 / 03期
关键词：
D O I：
10.1016/j.compfluid.2006.04.001
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A surrogate-model based shape optimization method is presented and applied to the case of the multidisciplinary shape optimization of a 2D NACA subsonic airfoil. The cost function is designed so that both the far-field radiated noise and the aerodynamic forces are controlled. The surrogate model is based on the Kriging optimal interpolation technique. In order to increase the efficiency of the method, a dynamic Kriging method is developed, which can be interpreted as an Adaptive Mesh Refinement method in the shape optimization parameters. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码：520 / 529
页数：10
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