当前位置: X-MOL 学术Struct. Multidisc. Optim. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A well connected, locally-oriented and efficient multi-scale topology optimization (EMTO) strategy
Structural and Multidisciplinary Optimization ( IF 3.6 ) Pub Date : 2021-08-18 , DOI: 10.1007/s00158-021-03048-1
Edouard Duriez 1 , Joseph Morlier 1 , Miguel Charlotte 1 , Catherine Azzaro-Pantel 2
Affiliation  

Multi-scale topology optimization (a.k.a. micro-structural topology optimization, MTO) consists in optimizing macro-scale and micro-scale topology simultaneously. MTO could improve structural performance of products significantly. However, a few issues related to connectivity between micro-structures and high computational cost have to be addressed, without resulting in loss of performance. In this paper, a new efficient multi-scale topology optimization (EMTO) framework has been developed for this purpose. Connectivity is addressed through adaptive transmission zones which limit loss of performance. A pre-computed database of micro-structures is used to speed up the computing. Design variables have also been chosen carefully and include the orientation of the micro-structures to enhance performance. EMTO has been successfully tested on two-dimensional compliance optimization problems. The results show significant improvements compared to mono-scale methods (compliance value lower by up to 20% on a simplistic case or 4% on a more realistic case), and also demonstrate the versatility of EMTO.



中文翻译:

一种连接良好、面向本地且高效的多尺度拓扑优化 (EMTO) 策略

多尺度拓扑优化(又名微结构拓扑优化,MTO)包括同时优化宏观和微观拓扑。MTO可以显着改善产品的结构性能。然而,必须解决与微结构之间的连接性和高计算成本相关的一些问题,而不会导致性能损失。在本文中,一种新的高效多尺度拓扑优化(EMTO) 框架已为此目的而开发。通过限制性能损失的自适应传输区域解决连接问题。预先计算的微结构数据库用于加速计算。还仔细选择了设计变量,包括微结构的方向以提高性能。EMTO 已在二维合规优化问题上成功测试。结果显示与单尺度方法相比有显着改进(在简单的情况下合规性值降低高达 20%,在更实际的情况下降低 4%),并且还证明了 EMTO 的多功能性。

更新日期:2021-08-19
down
wechat
bug