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A Generalized SNC-BESO Method for Multi-objective Topology Optimization Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Differential Evolution to Find the Best Material Groupings in Truss Optimization

Authors : José P. G. Carvalho, Afonso C. C. Lemonge, Patrícia H. Hallak, Dênis E. C. Vargas

Published in: EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

Publisher: Springer International Publishing

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Abstract

Recently, the structural optimization has received a strong emphasis that leads in the formulation of the objective function questions regarding the possible combination of various materials. That is, the multi- material optimization in which these materials present different characteristics between them. For example, those referring to the behavior of the material that can be physically linear or non-linear, linear behaviors with different modulus of elasticity, different costs depending on the volume to be used, different behaviors in tension and compression, and so on. The topological structural optimization, particularly, has been receiving efforts in this direction and is extremely adequate to address this type of problem. Another issue in this process is to include the possibility of limiting the number of different materials to be used in the optimized final design. The objective of this paper is to propose a strategy to obtain solutions for structural optimization problems in sizing, shape and topology, where the use of different materials will be incorporated in the formulation of the problem, besides the possibility of the designer choosing the maximum number of these materials. The search algorithm to be used is the Differential Evolution and the control of the maximum number of materials to be used is done through the use of cardinality constraints.

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Metadata
Title
A Differential Evolution to Find the Best Material Groupings in Truss Optimization
Authors
José P. G. Carvalho
Afonso C. C. Lemonge
Patrícia H. Hallak
Dênis E. C. Vargas
Copyright Year
2019
Book
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

Print ISBN: 978-3-319-97772-0

Electronic ISBN: 978-3-319-97773-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-97773-7_10

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