arrow
返回

Topology optimization with pressure load through a level set method

delete2015-01-01
delete64
PRE
AI
Q
Qi Xia
M
Michael Yu Wang
史
史铁林 (Tielin Shi) *
DOI:10.1016/j.cma.2014.09.022delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The topology optimization problem with pressure load is solved by using a level set method. The free boundary and the pressure boundary of a structure are represented separately as two zero-level sets of two level set functions, and they are independently propagated during the optimization by solving two Hamilton-Jacobi equations. In order to prevent the two boundaries from touching or crossing each other, the design velocities of the two boundaries that amount to the steepest descent directions are modified. The optimization problem of minimum compliance with perimeter regularization is considered. The shape derivatives of the two boundaries are derived by using the material derivative approach and the adjoint method. The finite element analysis is done through an Eulerian method by employing a fixed mesh and an artificial weak material that represents void. Numerical examples in two dimensions are investigated. (C) 2014 Elsevier B.V. All rights reserved.
Keyword:
Shape and topology optimization
Pressure load
Boundary
Level set method
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

C
Chinese University of Hong Kong
学者数:
3.4W
论文数: 3.2W
被引数: 5.6W
引用论文

引用论文

Development and Validation of the University of Washington Clinical Assessment of Music Perception Test华盛顿大学音乐知觉临床评估测试的开发和验证
err2009-08-01
err0
errOAAI
errRobert Kang; Grace Liu Nimmons; Ward Drennan; Jeff Longnion; Chad Ruffin; Kaibao Nie; Jong Ho Won; Tina Worman; Bevan Yueh; Jay Rubinstein
err分享
err收藏
err分享
err收藏
A PDE-based fast local level set method
err1999-11-01
err1.1K
errOAAI
errPeng, DP; Merriman, B; Osher, S; Zhao, HK; Kang, MJ
err分享
err收藏
学者 查看更多内容