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Author:

Bian, Bing-Chuan (Bian, Bing-Chuan.) | Sui, Yun-Kang (Sui, Yun-Kang.) | Ye, Hong-Ling (Ye, Hong-Ling.) (Scholars:叶红玲)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In this paper, according to the ICM (Independent Continuous Mapping) method, the topology optimization problem of continuum structures with the buckling constraints are solved. The continuous independent topological variables are used in this problem. The topology optimization model for the continuum structure is constructed, which has the minimized weight as the objective function subjected to the buckling constraints. Based on the Taylor expansion, the filtering function and the Rayleigh's quotient, the objective function is approximately expressed as a second-order expressions and the buckling constraint is approximately expressed as an explicit function. Thus the analysis of the sensitivity was decreased. The optimization model is translated into a dual programming and solved. The number of the variable is reduced and the model's scale is minified. Finally, the examples show that this method can solve the topology optimization problem of continuum structures with the buckling constraints feasibly and efficiently.

Keyword:

Mathematical models Buckling Structural optimization Mapping

Author Community:

  • [ 1 ] [Bian, Bing-Chuan]Centre of Numerical Simulation for Engineering, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Sui, Yun-Kang]Centre of Numerical Simulation for Engineering, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Ye, Hong-Ling]Centre of Numerical Simulation for Engineering, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2006

Issue: SUPPL.

Volume: 32

Page: 9-13

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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