Solver-free classical computational homogenization for nonlinear periodic heterogeneous media

被引:1
作者
Beel, Andrew [1 ]
Fish, Jacob [1 ,2 ]
机构
[1] Columbia Univ, Dept Civil Engn & Engn Mech, New York, NY USA
[2] Columbia Univ, Dept Civil Engn & Engn Mech, 500 W 120 St, New York, NY 10027 USA
基金
美国国家科学基金会;
关键词
composites; finite element methods; multiscale; solids; GENERALIZED MATHEMATICAL HOMOGENIZATION; FINITE-ELEMENT-METHOD; ASYMPTOTIC HOMOGENIZATION; MULTISCALE METHOD; MULTIGRID METHOD; UNIFORM-FIELDS; MODEL; MULTIRESOLUTION; COMPOSITES; DECOMPOSITION;
D O I
10.1002/nme.7390
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Modeling the behavior of composite materials is an important application of computational homogenization methods. Classical computational homogenization (CCH), based on asymptotic analysis, is such a method. In CCH, equilibrium equations are separated into two length scales and solved numerically. Solving the fine-scale equilibrium equations at every coarse-scale Gauss point, in every iteration of a Newton-Raphson loop, is often too computationally expensive for real engineering applications. In this study, we propose a modified CCH approach that avoids solving the fine-scale equilibrium equations. The proposed method, which we call solver-free CCH, works by pre-computing a set of eigenstrain influence function tensors based on data from a small number of numerical experiments. Then, during the online stage of the computation, these eigenstrain influence tensors are used in the fine-scale problem to evaluate and homogenize strains and stresses. This article begins by formulating the solver-free CCH approach for small-deformation problems involving composites with nonlinear constituent phase material models, including computation of the eigenstrain influence tensors and their application within the online stage. To verify the proposed approach, we consider loading cases outside the training set used to derive the eigenstrain influence tensors. The combinational efficiency and accuracy of the solver-free CCH in comparison to the conventional CCH is studied on a multilayer composite plate in three point bending (3pt-bend) and open hole tension.
引用
收藏
页数:30
相关论文
共 97 条
[1]   The heterogeneous multiscale method [J].
Abdulle, Assyr ;
Weinan, E. ;
Engquist, Bjoern ;
Vanden-Eijnden, Eric .
ACTA NUMERICA, 2012, 21 :1-87
[3]   Piezoelectric composites for sensor and actuator applications [J].
Akdogan, EK ;
Allahverdi, M ;
Safari, A .
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2005, 52 (05) :746-775
[4]   Efficient multiscale modeling of heterogeneous materials using deep neural networks [J].
Aldakheel, Fadi ;
Elsayed, Elsayed S. S. ;
Zohdi, Tarek I. I. ;
Wriggers, Peter .
COMPUTATIONAL MECHANICS, 2023, 72 (01) :155-171
[5]   Fiber Optic Sensors Embedded in Textile-Reinforced Concrete for Smart Structural Health Monitoring: A Review [J].
Alwis, Lourdes S. M. ;
Bremer, Kort ;
Roth, Bernhard .
SENSORS, 2021, 21 (15)
[6]  
Bakhvalov N.S., 1989, Homogenisation: averaging processes in periodic media : mathematical problems in the mechanics of composite materials, DOI DOI 10.1007/978-94-009-2247-1
[7]   Network approximation in the limit of small interparticle distance of the effective properties of a high-contrast random dispersed composite [J].
Berlyand, L ;
Kolpakov, A .
ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS, 2001, 159 (03) :179-227
[8]   A multiresolution strategy for reduction of elliptic PDEs and eigenvalue problems [J].
Beylkin, G ;
Coult, N .
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 1998, 5 (02) :129-155
[9]   A nonlinear manifold-based reduced order model for multiscale analysis of heterogeneous hyperelastic materials [J].
Bhattacharjee, Satyaki ;
Matous, Karel .
JOURNAL OF COMPUTATIONAL PHYSICS, 2016, 313 :635-653
[10]  
Borja R.I., 2013, PLASTICITY MODELING