.png){kind=icon}
返回
Explicit topology optimization using IGA-based moving morphable void (MMV) approach
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cma.2019.112685.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the present work, a new IGA-based MMV (moving morphable void) approach for structural topology optimization is developed. In this approach, the MMV-based topology optimization framework is seamlessly integrated into IGA by using TSA (trimming surface analysis) technique. Compared with existing works where TSA is also employed for topology optimization, the proposed approach provides a robust and flexible control of structural geometry/topology, and has the capability of preventing the occurrence of self-intersection and jagged boundaries in a straightforward manner. The newly developed method is also applied to topology optimization of shell structures, which are widely used in engineering applications. It is found that by using only a relatively small number of IGA-based elements, the present MMV and IGA-based method can obtain optimized shell structures with smooth boundaries with the same ease as for 2-D planar problems. Numerical examples are also provided to demonstrate the effectiveness of the proposed method. (C) 2019 Elsevier B.V. All rights reserved.
Keyword:
Topology optimization
Shape optimization
Moving Morphable Void (MMV)
Isogeometric analysis (IGA)
Trimmed surface analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.3
论文数:
1.3W
被引数:
5.6W
机构
引用论文
.png){kind=icon}
分享收藏A level-set based IGA foiniulation for topology optimization of flexoelectric materials基于水平集的IGA模型用于挠曲电材料的拓扑优化
PREAI
分享收藏
查看更多内容