A simple heuristic for gray-scale suppression in optimality ion-based topology optimization

A.A. Groenwold; L.F.P. Etman

doi:10.1007/s00158-008-0337-1

A simple heuristic for gray-scale suppression in optimality ion-based topology optimization

A.A. Groenwold, L.F.P. Etman

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

We propose a very simple heuristic to suppress gray-scale material in topology optimization in optimality criterion-like implementations. Gray-scale suppression (GSS) is recommended for use in conjunction with the SIMP material description, although gray-scale suppression in itself is adequate to effect predominantly black-and-white designs. Minimal changes are required to incorporate the gray-scale suppression technique in Sigmund’s popular 99-line Matlab code for topology optimization.

Original language	English
Pages (from-to)	217-225
Journal	Structural and Multidisciplinary Optimization
Volume	39
DOIs	https://doi.org/10.1007/s00158-008-0337-1
Publication status	Published - 2009

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abstract = "We propose a very simple heuristic to suppress gray-scale material in topology optimization in optimality criterion-like implementations. Gray-scale suppression (GSS) is recommended for use in conjunction with the SIMP material description, although gray-scale suppression in itself is adequate to effect predominantly black-and-white designs. Minimal changes are required to incorporate the gray-scale suppression technique in Sigmund{\textquoteright}s popular 99-line Matlab code for topology optimization.",

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AB - We propose a very simple heuristic to suppress gray-scale material in topology optimization in optimality criterion-like implementations. Gray-scale suppression (GSS) is recommended for use in conjunction with the SIMP material description, although gray-scale suppression in itself is adequate to effect predominantly black-and-white designs. Minimal changes are required to incorporate the gray-scale suppression technique in Sigmund’s popular 99-line Matlab code for topology optimization.

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