Topology optimization incorporating external variables with metamodeling

Shun Maruyama*, Shintaro Yamasaki, Kentaro Yaji, Kikuo Fujita


研究成果: Article査読

1 被引用数 (Scopus)


The objective of conventional topology optimization is to optimize the material distribution for a prescribed design domain. However, solving the topology optimization problem strongly depends on the settings specified by the designer for the shape of the design domain or their specification of the boundary conditions. This contradiction indicates that the improvement of structures should be achieved by optimizing not only the material distribution but also the additional design variables that specify the above settings. We refer to the additional design variables as external variables. This paper presents our work relating to solving the design problem of topology optimization incorporating external variables. The approach we follow is to formulate the design problem as a multi-level optimization problem by focusing on the dominance-dependence relationship between external variables and material distribution. We propose a framework to solve the optimization problem utilizing the multi-level formulation and metamodeling. The metamodel approximates the relationship between the external variables and the performance of the corresponding optimized material distribution. The effectiveness of the framework is demonstrated by presenting three examples.

ジャーナルStructural and Multidisciplinary Optimization
出版ステータスPublished - 2020 11月 1

ASJC Scopus subject areas

  • ソフトウェア
  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 制御と最適化


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