A heuristic and a genetic topology optimization algorithm for weight-minimal laminate structures

被引：37

作者：

Hansel, W ^{[1
]}

Treptow, A

Becker, W

Freisleben, B

机构：

[1] Univ Siegen, FOMAAS, Forschungszentrum Multidisziplinare Analysen & An, D-57068 Siegen, Germany

[2] Univ Tubingen, Wilhelm Schickard Inst Informat, D-72076 Tubingen, Germany

来源：

COMPOSITE STRUCTURES | 2002年 / 58卷 / 02期

关键词：

topology optimization; genetic algorithms; composite materials; structural optimization; finite element method;

D O I：

10.1016/S0263-8223(02)00048-X

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

This paper presents two alternative approaches for realizing weight-minimal laminate structures by topology optimization. In both cases, topology optimization is performed in a layerwise manner such that the individual laminate plies are allowed to have their individual topologies. In the first approach, a heuristic optimization algorithm is applied: starting from an oversized initial design, this algorithm iteratively removes single layer material at locations where it is not seriously needed. In the second approach, a genetic algorithm has been developed that adapts the material distribution and the local reinforcement directions to the given structural needs. Two examples of laminate structures show the effectiveness of the proposed algorithms. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：287 / 294

页数：8

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