Dynamic topology optimization for multiple eigenfrequencies using the artificial bee colony algorithm

Dae Ho Chang, Seog Young Han

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1 Citation (Scopus)

Abstract

The purpose of this study is to suggest a method of applying the artificial bee colony algorithm (ABCA) in the frequency topology optimization for a structure with multiple eigenfrequencies. In order to replicate the multiple eigenfrequencies of a structure, suboptimization procedure for multiple eigenfrequencies was additionally developed. In order to obtain a stable and robust optimal topology the waggle index update rule, evaluation method of fitness values and changing filtering size scheme were also employed. And the optimized topologies of ABCA for examples were compared with those of the solid isotropic material with penalization (SIMP) method for investigating the applicability and effectiveness of the ABCA. The following conclusions were obtained through the results of examples; (1) The ABCA implemented with sub-optimization procedure and the three suggested schemes, is very applicable and effective in dynamic topology optimization. (2) The multiple eigenfrequencies of a structure are successfully replicated by the ABCA in optimization procedure. (3) The fundamental frequency of the ABCA is almost the same or slightly higher than that of the SIMP

Original languageEnglish
Pages (from-to)1817-1824
Number of pages8
JournalInternational Journal of Precision Engineering and Manufacturing
Volume16
Issue number8
DOIs
StatePublished - 2015 Jun 23

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Shape optimization
Topology

Keywords

  • Artificial bee colony algorithm
  • Finite element method
  • Multiple eigenfrequencies
  • Stochastic search method
  • Topology optimization

Cite this

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title = "Dynamic topology optimization for multiple eigenfrequencies using the artificial bee colony algorithm",
abstract = "The purpose of this study is to suggest a method of applying the artificial bee colony algorithm (ABCA) in the frequency topology optimization for a structure with multiple eigenfrequencies. In order to replicate the multiple eigenfrequencies of a structure, suboptimization procedure for multiple eigenfrequencies was additionally developed. In order to obtain a stable and robust optimal topology the waggle index update rule, evaluation method of fitness values and changing filtering size scheme were also employed. And the optimized topologies of ABCA for examples were compared with those of the solid isotropic material with penalization (SIMP) method for investigating the applicability and effectiveness of the ABCA. The following conclusions were obtained through the results of examples; (1) The ABCA implemented with sub-optimization procedure and the three suggested schemes, is very applicable and effective in dynamic topology optimization. (2) The multiple eigenfrequencies of a structure are successfully replicated by the ABCA in optimization procedure. (3) The fundamental frequency of the ABCA is almost the same or slightly higher than that of the SIMP",
keywords = "Artificial bee colony algorithm, Finite element method, Multiple eigenfrequencies, Stochastic search method, Topology optimization",
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N2 - The purpose of this study is to suggest a method of applying the artificial bee colony algorithm (ABCA) in the frequency topology optimization for a structure with multiple eigenfrequencies. In order to replicate the multiple eigenfrequencies of a structure, suboptimization procedure for multiple eigenfrequencies was additionally developed. In order to obtain a stable and robust optimal topology the waggle index update rule, evaluation method of fitness values and changing filtering size scheme were also employed. And the optimized topologies of ABCA for examples were compared with those of the solid isotropic material with penalization (SIMP) method for investigating the applicability and effectiveness of the ABCA. The following conclusions were obtained through the results of examples; (1) The ABCA implemented with sub-optimization procedure and the three suggested schemes, is very applicable and effective in dynamic topology optimization. (2) The multiple eigenfrequencies of a structure are successfully replicated by the ABCA in optimization procedure. (3) The fundamental frequency of the ABCA is almost the same or slightly higher than that of the SIMP

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