Level set-based topological shape optimization of nonlinear heat conduction problems using topological derivatives

Min Geun Kim, Seung Hyun Ha, Seonho Cho

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

A level set-based topological shape-optimization method is developed to relieve the well-known convergence difficulty in nonlinear heat-conduction problems. While minimizing the objective function of instantaneous thermal compliance and satisfying the constraint of allowable volume, the solution of the Hamilton-Jacobi equation leads the initial implicit boundary to an optimal one according to the normal velocity determined from the descent direction of the Lagrangian. Topological derivatives are incorporated into the level set-based framework to improve convergence of the optimization process as well as to avoid the local minimum resulting from the intrinsic nature of the shape-design approach.

Original languageEnglish
Pages (from-to)550-582
Number of pages33
JournalMechanics Based Design of Structures and Machines
Volume37
Issue number4
DOIs
StatePublished - Oct 2009

Keywords

  • Adjoint sensitivity analysis
  • Level set method
  • Nonlinear heat conduction
  • Shape design optimization
  • Topological derivative

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