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Efficient reanalysis techniques for robust topology optimization
DOI:10.1016/j.cma.2012.07.008.png)
摘要
En 中文
The article focuses on the reduction of the computational effort involved in robust topology optimization procedures. The performance of structures designed by means of topology optimization may be seriously degraded due to fabrication errors. Robust formulations of the optimization problem were shown to yield optimized designs that are tolerant with respect to such manufacturing uncertainties. The main drawback of such procedures is the added computational cost associated with the need to evaluate a set of designs by performing multiple finite element analyses. In this article, we propose efficient robust topology optimization procedures based on reanalysis techniques. The approach is demonstrated on two compliant mechanism design problems where robust design is achieved by employing either a worst case formulation or a stochastic formulation. It is shown that the time spent on finite element analysis within robust topology optimization can be reduced significantly, without affecting the outcome of the optimization process. (C) 2012 Elsevier B.V. All rights reserved.
Keyword:
Topology optimization
Robust design
Manufacturing errors
Approximate reanalysis
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期刊
IF:
7.3
论文数:
1.3W
被引数:
5.6W
机构
引用论文
Level set based robust shape and topology optimization under random field uncertainties随机场不确定性下基于水平集的鲁棒形状和拓扑优化
A new level-set based approach to shape and topology optimization under geometric uncertainty几何不确定性下基于水平集的形状和拓扑优化新方法

