Efficient two-scale analysis with thermal residual stresses and strains based on self-consistent clustering analysis
DOI10.1016/j.euromechsol.2021.104477OpenAlexW3216443556MaRDI QIDQ2063443
Huadong Yong, Yixin Feng, You He Zhou
Publication date: 11 January 2022
Published in: European Journal of Mechanics. A. Solids (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.euromechsol.2021.104477
finite element methodthermoelasticityrepresentative volume elementmultiscale simulationreduced-order methodthermelastoplasticity
Finite element methods applied to problems in solid mechanics (74S05) Composite and mixture properties (74E30) Thermal effects in solid mechanics (74F05)
Uses Software
Cites Work
- Algorithm AS 136: A K-Means Clustering Algorithm
- A multiscale approach for modeling progressive damage of composite materials using fast Fourier transforms
- \(FE^2\) multiscale approach for modelling the elastoviscoplastic behaviour of long fibre SiC/Ti composite materials
- FFT-based modelling of transformation plasticity in polycrystalline materials during diffusive phase transformation
- From virtual clustering analysis to self-consistent clustering analysis: a mathematical study
- A numerical method for computing the overall response of nonlinear composites with complex microstructure
- Data science for finite strain mechanical science of ductile materials
- Efficient two-scale FE-FFT-based mechanical process simulation of elasto-viscoplastic polycrystals at finite strains
- Exploring the 3D architectures of deep material network in data-driven multiscale mechanics
- Self-consistent clustering analysis for multiscale modeling at finite strains
- Efficient multiscale modeling for woven composites based on self-consistent clustering analysis
- FFT-based micromechanical simulations of transformation plasticity. Comparison with a limit-analysis-based theory
- Self-consistent clustering analysis: an efficient multi-scale scheme for inelastic heterogeneous materials
- A framework for data-driven analysis of materials under uncertainty: countering the curse of dimensionality
- Microstructural material database for self-consistent clustering analysis of elastoplastic strain softening materials
- Clustering discretization methods for generation of material performance databases in machine learning and design optimization
- Fast calculation of interaction tensors in clustering-based homogenization
- Algorithmic two-scale transition for magneto-electro-mechanically coupled problems, FE \({}^2\)-scheme: localization and homogenization
- On selection of repeated unit cell model and application of unified periodic boundary conditions in micro-mechanical analysis of composites
- A direct finite element method study of generalized thermoelastic problems
- Multiscale Finite Element Methods
- Elastic Behavior of Composite Materials: Theoretical Foundations
- Data-Driven Self-consistent Clustering Analysis of Heterogeneous Materials with Crystal Plasticity
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