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Parametric shape and topology optimization with radial basis functions

  • Michael Yu Wang
  • , Shengyin Wang

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

This paper describes a parametric optimization technique for shape and topology optimization. The proposed method is a generalization of the classical method of level sets which are represented with discrete grids. In using radial basis functions (RBFs), the proposed formulation projects the geometric motion of the level sets of an implicit function onto its parametric representation. The resulting method provides a set of new capabilities for general shape and topology optimization, particularly treating it as a parameter problem with the RBF implicit models. Numerical examples are presented in the paper, suggesting the potential of the method.

Original languageEnglish
Title of host publicationIUTAM Symposium on Topological Design Optimization of Structures, Machines and Materials
Subtitle of host publicationStatus and Perspectives
PublisherSpringer-Verlag London Ltd.
Pages13-22
Number of pages10
ISBN (Print)1402047290, 9781402047299
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventIUTAM Symposium on Topological Design Optimization of Structures, Machines and Materials: Status and Perspectives 2006 - Rungstedgaard, Denmark
Duration: 26 Oct 200529 Oct 2005
https://link.springer.com/book/10.1007/1-4020-4752-5 (Proceedings)

Publication series

NameSolid Mechanics and its Applications
Volume137
ISSN (Print)1875-3507

Conference

ConferenceIUTAM Symposium on Topological Design Optimization of Structures, Machines and Materials: Status and Perspectives 2006
Country/TerritoryDenmark
CityRungstedgaard
Period26/10/0529/10/05
Internet address

Keywords

  • Level set method
  • Parameter design
  • Radial basis functions
  • Shape and topology optimization

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