Improving efficiency of evolutionary structural optimization by implementing fixed grid mesh

H Kim, O M Querin, G P Steven, Y M Xie

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Evolutionary structural optimization (ESO) has been shown through much published research to be a simple and yet effective method for structural shape and topology optimization. However, attention has been drawn to shortcomings in the method related to the computational efficiency of the algorithm as well as the jagged edge representation of the Finite Element optimal solutions. In this paper a fixed grid (FG) mesh is implemented and an improved ESO methodology is introduced in order to address these shortcomings. The examples show a significant improvement in the solution time as well as eliminating the jagged edges and checkerboard patterns that may appear in current solution topologies. In addition, FG is applied to both stress based and stiffness optimization. This paper demonstrates a simple implementation of FG and the consequent improvement in the efficiency and practicality of the FG ESO formulation.
Original languageEnglish
Pages (from-to)441-448
Number of pages8
JournalStructural and Multidisciplinary Optimization
Volume24
Issue number6
DOIs
Publication statusPublished - 2003

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Evolutionary Optimization
Structural optimization
Structural Optimization
Mesh
Grid
Shape optimization
Topology Optimization
Shape Optimization
Computational efficiency
Computational Efficiency
Stiffness
Optimal Solution
Topology
Finite Element
Optimization
Methodology
Formulation
Demonstrate

Cite this

Improving efficiency of evolutionary structural optimization by implementing fixed grid mesh. / Kim, H; Querin, O M; Steven, G P; Xie, Y M.

In: Structural and Multidisciplinary Optimization, Vol. 24, No. 6, 2003, p. 441-448.

Research output: Contribution to journalArticle

Kim, H ; Querin, O M ; Steven, G P ; Xie, Y M. / Improving efficiency of evolutionary structural optimization by implementing fixed grid mesh. In: Structural and Multidisciplinary Optimization. 2003 ; Vol. 24, No. 6. pp. 441-448.
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