Journal article
Topology optimization with implicit functions and regularization
International journal for numerical methods in engineering, Vol.57(8), pp.1177-1196
06/28/2003
DOI: 10.1002/nme.824
Abstract
Topology optimization is formulated in terms of the nodal variables that control an implicit function description of the shape. The implicit function is constrained by upper and lower bounds, so that only a band of nodal variables needs to be considered in each step of the optimization. The weak form of the equilibrium equation is expressed as a Heaviside function of the implicit function; the Heaviside function is regularized to permit the evaluation of sensitivities. We show that the method is a dual of the Bends–Kikuchi method. The method is applied both to problems of optimizing single material and multi‐material configurations; the latter is made possible by enrichment functions based on the extended finite element method that enable discontinuous derivatives to be accurately treated within an element. The method is remarkably robust and we found no instances of checkerboarding. The method handles topological merging and separation without any apparent difficulties. Copyright © 2003 John Wiley & Sons, Ltd.
Details
- Title: Subtitle
- Topology optimization with implicit functions and regularization
- Creators
- T BelytschkoS. P XiaoC Parimi
- Resource Type
- Journal article
- Publication Details
- International journal for numerical methods in engineering, Vol.57(8), pp.1177-1196
- DOI
- 10.1002/nme.824
- ISSN
- 0029-5981
- eISSN
- 1097-0207
- Publisher
- John Wiley & Sons, Ltd; Chichester, UK
- Number of pages
- 20
- Grant note
- National Aeronautics and Space Administration (NASA)
- Language
- English
- Date published
- 06/28/2003
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984064577302771
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