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Clustering solver for displacement-based numerical homogenization
DOI:10.1016/j.taml.2021.100306.png)
摘要
En 中文
Based on strain-clustering via k-means, we decompose computational domain into clusters of possibly disjoint cells. Assuming cells in each cluster take the same strain, we reconstruct displacement field. We further propose a new way to condensate the governing equations of displacement-based finite ele-ment method to reduce the complexity while maintain the accuracy. Numerical examples are presented to illustrate the efficiency of the clustering solver. Numerical convergence studies are performed for the examples. Avoiding complexities which is common in existing clustering analysis methods, the proposed clustering solver is easy to implement, particularly for numerical homogenization using commercial soft -wares.(c) 2021 The Authors. Published by Elsevier Ltd on behalf of The Chinese Society of Theoretical and Applied Mechanics.This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
Keyword:
Clustering
Finite element method
Numerical homogenization
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期刊
IF:
3.3
论文数:
482
被引数:
1.5K
机构
引用论文
Self-consistent clustering analysis: An efficient multi-scale scheme for inelastic heterogeneous materials自洽聚类分析: 非弹性异质材料的有效多尺度方案
From virtual clustering analysis to self-consistent clustering analysis: a mathematical study从虚拟聚类分析到自洽聚类分析的数学研究
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