arrow
返回

M-VCUT level set method for optimizing cellular structures

delete2020-08-01
delete58
PRE
AI
刘辉 (Hui Liu)
H
Hongming Zong
史铁林 (Tielin Shi)
Q
Qi Xia *
DOI:10.1016/j.cma.2020.113154delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper presents a multiple variable cutting (M-VCUT) level set method for the topology optimization of cellular structures. This method first divides the reference design domain into cells, and then in each cell it uses multiple basic level set functions combined with their cutting functions to describe the microstructure. The basic level set functions are used to describe microstructure prototypes that are kept fixed during the course of optimization. Each basic level set function is cut by its own cutting function to achieve shape and topology variation of microstructure. After the cutting operations, multiple virtual microstructures are obtained in each cell, and they are further combined together through a union operation to generate an actual microstructure. Based on the multiple virtual microstructures, multiple combination options are available, thus resulting in an enlarged design space and performance improvement as compared to the VCUT level set method developed in our previous study. Moreover, as a generalization of the VCUT level set method, connections between microstructures in neighboring cells are naturally guaranteed without any extra constraints. (C) 2020 Elsevier B.V. All rights reserved.
Keyword:
Multiscale structure
Multiscale optimization
Level set method
VCUT
Microstructure connectivity
Topology optimization
AI总结

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

Computer Methods in Applied Mechanics and Engineering 封面图
Computer Methods in Applied Mechanics and Engineering
IF:
7.3
论文数:
1.3W
被引数:
5.6W

机构

W
wuhan university
学者数:
8.1W
论文数: 5.8W
被引数: 70
引用论文

引用论文

Math Education with Large Language Models: Peril or Promise?
err2023-01-01
err0
PREAI
errHarsh Kumar; David M. Rothschild; Daniel G. Goldstein; Jake Hofman
err分享
err收藏
err分享
err收藏
学者 查看更多内容