4.7 Article

Robust topology optimisation of bi-modulus structures

期刊

COMPUTER-AIDED DESIGN
卷 45, 期 10, 页码 1159-1169

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.cad.2013.05.002

关键词

Robust design; Topology optimisation; Bi-modulus; Multi-stiffness structures

资金

  1. National Natural-Science-Foundation of China [50908190, 51279171]
  2. Youth Talents Foundation of Shanxi Province [2011KJXX02]
  3. Research Foundation of State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, PR China [GZ1205]

向作者/读者索取更多资源

This study proposes a robust topology optimisation method for the design of hi-modulus structures under uncertain multiple loading conditions (MLC). The objective of the design optimisation is to minimise the standard deviation of the weighted structural compliance. The gradient-based method is applied to perform a sensitivity analysis for the identification of optimal design variables. A material replacement method is used to overcome difficulty in the sensitivity analysis due to the stress-dependent behaviour of the original bi-modulus material. In the material replacement operation, two new isotropic materials are identified to replace the original bi-modulus material according to its two moduli. To reduce the side effects of the material replacement operation on the final design, the local stiffness is modified in terms of the stress state. Typical numerical examples are used to demonstrate the effectiveness of the proposed method to the final design, including the load uncertainty on the optimal bi-modulus layout, as well as other factors, such as loading direction and the ratio between the two moduli of the bi-modulus material. The comparison between layouts of isotropic and hi-modulus materials also shows that the final bi-modulus material distribution is sensitive to loading directions in practical designs. (C) 2013 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据