Structural optimization based on the phase field method (validation of perimeter constraint effect and extension to compliant mechanism design problem and eigen frequency maximization problem)

Akihiro Takezawa*, Shinji Nishiwaki, Mitsuru Kitamura

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper discusses a structural optimization method that optimizes shape and topology based on the phase field method. The proposed method has the same functional capabilities as a structural optimization method based on the level set method incorporating perimeter control functions. Since the proposed method does not require extra operations such as re-initialization of the level set function or smoothing of sensitivities, the computational cost is lower than that of typical level set methods. Structural shapes are represented by the phase field function defined in the design domain, and optimization of this function is performed by solving a time-dependent reaction diffusion equation. The artificial double-well potential function used in the equation is derived from sensitivity analysis. The proposed method is applied to two-dimensional linear elastic and vibration optimization problems such as the minimum compliance problem, a compliant mechanism design problem and the eigenfrequency maximization problem. The numerical examples provided illustrate the convergence of the various objective function and the effect that perimeter control has on the optimal configurations.

Original languageEnglish
Pages (from-to)1784-1793
Number of pages10
JournalNihon Kikai Gakkai Ronbunshu, A Hen/Transactions of the Japan Society of Mechanical Engineers, Part A
Volume75
Issue number760
DOIs
Publication statusPublished - 2009 Dec
Externally publishedYes

Keywords

  • Level set method
  • Phase field method
  • Sensitivity analysis
  • Shape optimization
  • Topology optimization

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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