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A Modified Big Bang-Big Crunch Algorithm for Structural Topology Optimization

Authors
Ahn, Hong-KyunHan, Dong-SeokHan, Seog-Young
Issue Date
Dec-2019
Publisher
KOREAN SOC PRECISION ENG
Keywords
Big bang-big crunch (BB-BC) algorithm; Metaheuristic method; Topology optimization; Static stiffness problem; Dynamic stiffness problem
Citation
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.20, no.12, pp.2193 - 2203
Indexed
SCIE
SCOPUS
KCI
Journal Title
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
Volume
20
Number
12
Start Page
2193
End Page
2203
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/11589
DOI
10.1007/s12541-019-00172-3
ISSN
2234-7593
Abstract
The purpose of this study is to develop a topology optimization scheme based on big bang-big crunch (BB-BC) algorithm, inspired from the evolution of the universe called big bang and big crunch theory. In order to apply the BB-BC algorithm to topology optimization for static and dynamic stiffness problems, the parameters of the algorithm were transformed to those of topology optimization scheme. In addition, some parameters such as big bang (BB) range, BB search, population and non-exchange limit were newly introduced to topology optimization scheme. Also, a parametric study for the parameters involved in the topology optimization scheme was performed to reduce the number of parameters, and find the appropriate ranges for topology optimization. Some examples were provided to examine the effectiveness of the developed topology optimization scheme for both static and dynamic stiffness problems throughout comparing with other metaheuristic topology optimization algorithms and the BESO (bi-directional evolutionary structural optimization) method. It was verified that the suggested algorithm shows superior to the compared typical metaheuristic topology optimization algorithms in the viewpoints of stability, robustness, accuracy and the convergence rate.
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COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)
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