An improved soft-kill BESO algorithm for optimal distribution of single or multiple material phases

Article

Ghabraie, Kazem. 2015. "An improved soft-kill BESO algorithm for optimal distribution of single or multiple material phases." Structural and Multidisciplinary Optimization. 52 (4), pp. 773-790. https://doi.org/10.1007/s00158-015-1268-2
Article Title

An improved soft-kill BESO algorithm for optimal distribution of single or multiple material phases

ERA Journal ID3820
Article CategoryArticle
Authors
AuthorGhabraie, Kazem
Journal TitleStructural and Multidisciplinary Optimization
Journal Citation52 (4), pp. 773-790
Number of Pages18
Year2015
PublisherSpringer
Place of PublicationGermany
ISSN1615-147X
1615-1488
Digital Object Identifier (DOI)https://doi.org/10.1007/s00158-015-1268-2
Web Address (URL)http://link.springer.com/article/10.1007%2Fs00158-015-1268-2
Abstract

Finding the optimum distribution of material phases in a multi-material structure is a frequent and important problem in structural engineering which involves topology optimization. The Bi-directional Evolutionary Structural Optimization (BESO) method is now a well-known topology optimization method. In this paper an improved soft-kill BESO algorithm is introduced which can handle both single and multiple material distribution problems. A new filtering scheme and a gradual procedure inspired by the continuation approach are used in this algorithm. Capabilities of the proposed method are demonstrated using different examples. It is shown that the proposed method can result in considerable improvements compared to the normal BESO algorithm particularly when solving problems involving very soft material or void phase.

Keywordstopology optimization; gradual BESO; multi-material design; continuation approach; soft-kill BESO
ANZSRC Field of Research 2020400510. Structural engineering
490304. Optimisation
401707. Solid mechanics
401706. Numerical modelling and mechanical characterisation
Public Notes

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Byline AffiliationsSchool of Civil Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
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