Evolutionary level set method for structural topology optimization

被引：43

作者：

Jia, Haipeng ^{[1
]}

Beom, H. G. ^{[1
]}

Wang, Yuxin ^{[1
]}

Lin, Song ^{[1
]}

Liu, Bo ^{[2
]}

机构：

[1] Inha Univ, Dept Mech Engn, Inchon 402751, South Korea

[2] Hebei Univ Technol, Dept Mech Engn, Tianjin 300130, Peoples R China

来源：

COMPUTERS & STRUCTURES | 2011年 / 89卷 / 5-6期

关键词：

Evolutionary structure optimization; Structure topology optimization; Intelligent computation; Level set method; BOUNDARY REPRESENTATION; DESIGN; ALGORITHM; GEOMETRY; NURBS;

D O I：

10.1016/j.compstruc.2010.11.003

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper proposes an evolutionary accelerated computational level set algorithm for structure topology optimization. It integrates the merits of evolutionary structure optimization (ESO) and level set method (LSM). Traditional LSM algorithm is largely dependent on the initial guess topology. The proposed method combines the merits of ESO techniques with those of LSM algorithm, while allowing new holes to be automatically generated in low strain energy within the nodal neighboring region during optimization. The validity and robustness of the new algorithm are supported by some widely used benchmark examples in topology optimization. Numerical computations show that optimization convergence is accelerated effectively. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.

引用

页码：445 / 454

页数：10

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