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

Ghabraie, Kazem 2015, An improved soft-kill BESO algorithm for optimal distribution of single or multiple material phases, Structural and multidisciplinary optimization, vol. 52, no. 4, pp. 773-792, doi: 10.1007/s00158-015-1268-2.

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Title An improved soft-kill BESO algorithm for optimal distribution of single or multiple material phases
Author(s) Ghabraie, KazemORCID iD for Ghabraie, Kazem orcid.org/0000-0002-1043-3403
Journal name Structural and multidisciplinary optimization
Volume number 52
Issue number 4
Start page 773
End page 792
Total pages 20
Publisher Springer
Place of publication Berlin, Germany
Publication date 2015-06-16
ISSN 1615-147X
1615-1488
Keyword(s) topology optimization
gradual BESO
multi-material design
continuation approach
soft-kill BESO
Summary 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.
Language eng
DOI 10.1007/s00158-015-1268-2
Field of Research 090506 Structural Engineering
091308 Solid Mechanics
010303 Optimisation
Socio Economic Objective 870302 Metals (e.g. Composites, Coatings, Bonding)
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084197

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