論文

査読有り
2015年5月

Matlab code for a level set-based topology optimization method using a reaction diffusion equation

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
  • Masaki Otomori
  • ,
  • Takayuki Yamada
  • ,
  • Kazuhiro Izui
  • ,
  • Shinji Nishiwaki

51
5
開始ページ
1159
終了ページ
1172
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s00158-014-1190-z
出版者・発行元
SPRINGER

This paper presents a simple Matlab implementation for a level set-based topology optimization method in which the level set function is updated using a reaction diffusion equation, which is different from conventional level set-based approaches (Allaire et al. 2002, 2004; Wang et al. 2003) that use the Hamilton-Jacobi equation to update the level set function. With this method, the geometrical complexity of optimized configurations can be easily controlled by appropriately setting a regularization parameter. We explain the code in detail, and also the derivation of the topological derivative that is used in the level set-based topology optimization. Numerical results for stiffness maximization problems are provided to facilitate the reader's understanding. The presented code is intended for educational purposes only. This paper was inspired by previously published papers presenting Matlab code for a SIMP method (Sigmund 2001; Andreassen et al. 2011), a level set-based method (Challis 2010), and FreeFem ++ code for a structural optimization method (Allaire and Pantz 2006). Readers can investigate results provided by these different methods and discover the prominent aspects of each particular method. The code presented here can be downloaded from http://www.osdel.me.kyoto-u.ac.jp/members/yamada/codes.html.

リンク情報
DOI
https://doi.org/10.1007/s00158-014-1190-z
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000355760000013&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s00158-014-1190-z
  • ISSN : 1615-147X
  • eISSN : 1615-1488
  • Web of Science ID : WOS:000355760000013

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