Modelling and Numerical Shape and Topology Optimization for a Hemivariational Inequality in Stokes Flows with Slip Boundary Conditions

Fang Feng, Hui Yang, Shengfeng Zhu

Research output: Contribution to journalArticlepeer-review

Abstract

This paper focuses on modelling and numerical shape and topology optimization for a nonlinear hemivariational inequality in a Stokes flow with contact and frictional conditions. For the energy functional to be minimized subject to geometric volume constraint, we present shape sensitivity analysis and propose a volume preserving gradient-type method for shape optimization. Moreover, we build a relaxed topology optimization model for the hemivariational inequality in a Stokes fluid and solve it by a level set method. Numerical examples are presented to verify effectiveness of the shape and topology optimization algorithms.

Original languageEnglish
Pages (from-to)850-886
Number of pages37
JournalCommunications in Computational Physics
Volume38
Issue number3
DOIs
StatePublished - Sep 2025

Keywords

  • Shape optimization
  • Stokes flow
  • hemivariational inequality
  • level set method
  • topology optimization

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