Hybrid method for aerodynamic shape optimization in automotive industry

被引：79

作者：

Muyl, F

Dumas, L

Herbert, V

机构：

[1] PSA Peugeot Citroen, Ctr Tech, F-78943 Velizy Villacoublay, France

[2] Univ Paris 06, Lab Jacques Louis Lions, F-75005 Paris, France

来源：

COMPUTERS & FLUIDS | 2004年 / 33卷 / 5-6期

关键词：

D O I：

10.1016/j.compfluid.2003.06.007

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An aerodynamic shape optimization tool for complex industrial flows is developed, based on an hybrid process. The optimization method couples a stochastic genetic algorithm and a deterministic BFGS hill-climbing method. For each evaluation required by the optimizer, the Navier-Stokes equations with the k-epsilon turbulence model are solved with a commercial CFD code on an unstructured mesh surrounding the shape to optimize. After various validation test cases, the method is successfully applied to optimize the rear of a simplified car shape in order to bring acceleration in the computational time of the minimization of the drag coefficient. (C) 2003 Published by Elsevier Ltd.

引用

页码：849 / 858

页数：10