.png){kind=icon}
返回
A fully adaptive topology optimization algorithm with goal-oriented error control
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compstruc.2011.05.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a fully adaptive finite element scheme, named ATOPT algorithm, to address topology optimization for minimum compliance. The algorithm performs a set of optimization loops on an underlying grid that is iteratively adapted to improve: (a) the description quality of the structural topology; (b) the accuracy of the finite element compliance approximation. Two suitable error estimators are defined to address both issues. Numerical simulations show that ATOPT algorithm achieves layouts that are in full agreement with standard results obtained on uniform fine grids, while remarkably reducing the number of design variables and the computational cost of the optimization procedure. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Topology optimization
Adaptivity
Finite elements
Minimum compliance
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
C
IF:
4.8
论文数:
6.2K
被引数:
1.7W
机构
引用论文
.png){kind=icon}
Variable chromosome length genetic algorithm for progressive refinement in topology optimization
PREAI
分享收藏Structural topology optimisation using simulated annealing with multiresolution design variables使用具有多分辨率设计变量的模拟退火进行结构拓扑优化
PREAI
分享收藏
查看更多内容