TY - JOUR
T1 - Clustering analysis accounting for boundary conditions
AU - Miao, Jingcheng
AU - Pang, Gang
AU - Tang, Shaoqiang
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
PY - 2025/11
Y1 - 2025/11
N2 - Multiscale methods with efficient and accurate homogenization provide reliable estimates for structural analysis of composites. However, existing homogenization methods relying on periodic or immersed boundary conditions fail to treat complex applications, such as cracked or non-periodic structures. In this work, we introduce a numerical homogenization method, called clustering analysis accounting for boundary conditions. By an efficient algorithm proposed to evaluate the fundamental solutions, we derive discrete governing equations relating strain to polarization stress for an FEM-discretized linear system under displacement or mixed boundary conditions. By clustering, the governing equations are significantly condensed, reducing computational costs. The incorporation of boundary conditions ensures accuracy, which is validated by examples of cracked, non-periodic random fiber-reinforced, and particle-reinforced structures.
AB - Multiscale methods with efficient and accurate homogenization provide reliable estimates for structural analysis of composites. However, existing homogenization methods relying on periodic or immersed boundary conditions fail to treat complex applications, such as cracked or non-periodic structures. In this work, we introduce a numerical homogenization method, called clustering analysis accounting for boundary conditions. By an efficient algorithm proposed to evaluate the fundamental solutions, we derive discrete governing equations relating strain to polarization stress for an FEM-discretized linear system under displacement or mixed boundary conditions. By clustering, the governing equations are significantly condensed, reducing computational costs. The incorporation of boundary conditions ensures accuracy, which is validated by examples of cracked, non-periodic random fiber-reinforced, and particle-reinforced structures.
KW - Boundary conditions
KW - Clustering analysis
KW - Numerical homogenization
KW - Phase field model
KW - Reduced order modeling
UR - https://www.scopus.com/pages/publications/105010720885
U2 - 10.1007/s00466-025-02655-9
DO - 10.1007/s00466-025-02655-9
M3 - 文章
AN - SCOPUS:105010720885
SN - 0178-7675
VL - 76
SP - 1423
EP - 1441
JO - Computational Mechanics
JF - Computational Mechanics
IS - 5
ER -