Design optimization of a sport shoe sole structure by evolutionary computation and finite element method analysis

K. Shimoyama, K. Seo, T. Nishiwaki, S. Jeong, S. Obayashi

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

This paper describes the design optimization of a sport shoe sole structure by evolutionary computation coupled with eigenmode analysis based on the finite element method. A genetic algorithm assisted by the Kriging response surface model was used for global and efficient optimization. The present study implemented two optimization cases based on equivalent design problem formulations: The single-objective constrained problem and multi-objective non-constrained problem. The optimization described here provided a midsole structure with optimal material properties, in which the elastic modulus should be reduced in rearfoot→ midfoot→forefoot-centre domains sequentially as the midsole weight becomes lighter. In addition, a comparison of the results between the two cases yielded insight into constraint handling for faster convergence in midsole design optimization by evolutionary computation.

Original languageEnglish
Pages (from-to)179-188
Number of pages10
JournalProceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology
Volume225
Issue number4
DOIs
Publication statusPublished - 2011 Dec
Externally publishedYes

Keywords

  • Design optimization
  • Evolutionary computation
  • Finite element method
  • Operability
  • Sport shoe sole

ASJC Scopus subject areas

  • Engineering(all)

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