$${\text {FE}}^r$$ method with surrogate localization model for hyperelastic composite materials
Open Access
- 6 October 2020
- journal article
- Published by Springer Science and Business Media LLC in Advanced Modeling and Simulation in Engineering Sciences
- Vol. 7 (1), 1-28
- https://doi.org/10.1186/s40323-020-00175-0
Abstract
This study presents a method for constructing a surrogate localization model for a periodic microstructure, or equivalently, a unit cell, to efficiently perform micro-macro coupled analyses of hyperelastic composite materials. The offline process in this approach is to make a response data matrix that stores the microscopic stress distributions in response to various patterns of macroscopic deformation gradients, which is followed by the proper orthogonal decomposition (POD) of the matrix to construct a reduced order model (ROM) of the microscopic analysis (localization) with properly extracted POD bases. Then, response surfaces of the POD coefficients are constructed so that the ROM can be continuous with respect to the input datum, namely, the macroscopic deformation gradient. The novel contributions of this study are the application of the L2 regularization to the interpolation approximations of the POD coefficients by use of radial basis functions (RBFs) to make the response surfaces continuous and the combined use of the cross-validation and the Bayesian optimization to search for the optimal set of parameters in both the RBFs and L2regularization formula. The resulting model can be an alternative to microscopic finite element (FE) analyses in the conventional $${\text {FE}}^2$$ FE 2 method and realizes $${\text {FE}}^r$$ FE r with $$1 1 < r < < 2 accordingly. Representative numerical examples of micro-macro coupled analysis with the $${\text {FE}}^r$$ FE r are presented to demonstrate the capability and promise of the surrogate localization model constructed with the proposed approach in comparison with the results with high-fidelity direct $${\text {FE}}^2$$ FE 2 .
Keywords
This publication has 36 references indexed in Scilit:
- COMPUTATIONAL HOMOGENIZATION METHOD AND REDUCED DATABASE MODEL FOR HYPERELASTIC HETEROGENEOUS STRUCTURESInternational Journal for Multiscale Computational Engineering, 2013
- Multi-scale computational homogenization: Trends and challengesJournal of Computational and Applied Mathematics, 2010
- The reduced model multiscale method (R3M) for the non-linear homogenization of hyperelastic media at finite strainsJournal of Computational Physics, 2007
- Two-scale finite element analysis of heterogeneous solids with periodic microstructuresComputers & Structures, 2004
- Multiscale FE2 elastoviscoplastic analysis of composite structuresComputational Materials Science, 1999
- Homogenization and Two-Scale ConvergenceSIAM Journal on Mathematical Analysis, 1992
- Preprocessing and postprocessing for materials based on the homogenization method with adaptive finite element methodsComputer Methods in Applied Mechanics and Engineering, 1990
- Multivariate cardinal interpolation with radial-basis functionsConstructive Approximation, 1990
- Asymptotic Analysis of Periodic StructuresJournal of Applied Mechanics, 1979
- Ridge Regression: Biased Estimation for Nonorthogonal ProblemsTechnometrics, 1970