An improvement technique for bi-directional evolutionary structural optimisation (BESO) method

Paper

Ghabraie, Kazem. 2015. "An improvement technique for bi-directional evolutionary structural optimisation (BESO) method." Li, Qing, Steven, Grant P. and Zhang, Zhongpu (Leo) (ed.) 11th World Congress on Structural and Multidisciplinary Optimisation: Advances in Structural and Multidisciplinary Optimization (WCSMO-11). Sydney, Australia 07 - 12 Jun 2015
Paper/Presentation Title

An improvement technique for bi-directional evolutionary structural optimisation (BESO) method

Presentation TypePaper
Authors
AuthorGhabraie, Kazem
EditorsLi, Qing, Steven, Grant P. and Zhang, Zhongpu (Leo)
Journal or Proceedings TitleProceedings of the 11th World Congress on Structural and Multidisciplinary Optimisation (WCSMO-11)
Number of Pages7
Year2015
ISBN9780646943947
Conference/Event11th World Congress on Structural and Multidisciplinary Optimisation: Advances in Structural and Multidisciplinary Optimization (WCSMO-11)
Event Details
11th World Congress on Structural and Multidisciplinary Optimisation: Advances in Structural and Multidisciplinary Optimization (WCSMO-11)
Event Date
07 to end of 12 Jun 2015
Event Location
Sydney, Australia
Abstract

Bi-directional Evolutionary Structural optimisation (BESO) method is now a well-known and popular method in topology optimisation. A new interpretation of this method is presented in which the method is viewed as a two-step procedure. Based on this interpretation, a simple heuristic improvement technique is introduced to improve BESO results. The proposed improvement technique is tested and verified through numerical examples and its performance is compared with the averaging sensitivity stabilisation technique proposed in [1]. It is shown that the proposed improvement is robuster than the averaging sensitivity technique.

REFERENCES:
[1] X. Huang and Y. M. Xie. Convergent and mesh-independent solutions for the bi-directional evolutionary structural optimization method. Finite Elements in Analysis and Design, 43 (14), 1039–1049, 2007.

Keywordstopology optimisation; BESO; conjugate gradient method; hard-kill; soft-kill
ANZSRC Field of Research 2020400510. Structural engineering
490304. Optimisation
401707. Solid mechanics
Byline AffiliationsSchool of Civil Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
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