Mesoscopic and multiscale modelling in materials

J Fish, GJ Wagner, S Keten - Nature materials, 2021 - nature.com
The concept of multiscale modelling has emerged over the last few decades to describe
procedures that seek to simulate continuum-scale behaviour using information gleaned from …

A review of nonlinear FFT-based computational homogenization methods

M Schneider - Acta Mechanica, 2021 - Springer
Since their inception, computational homogenization methods based on the fast Fourier
transform (FFT) have grown in popularity, establishing themselves as a powerful tool …

[HTML][HTML] DAMASK–The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single …

F Roters, M Diehl, P Shanthraj, P Eisenlohr… - Computational Materials …, 2019 - Elsevier
Crystal Plasticity (CP) modeling is a powerful and well established computational materials
science tool to investigate mechanical structure–property relations in crystalline materials. It …

A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality

MA Bessa, R Bostanabad, Z Liu, A Hu… - Computer Methods in …, 2017 - Elsevier
A new data-driven computational framework is developed to assist in the design and
modeling of new material systems and structures. The proposed framework integrates three …

Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques

R Bostanabad, Y Zhang, X Li, T Kearney… - Progress in Materials …, 2018 - Elsevier
Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …

Quantitative X-ray tomography

E Maire, PJ Withers - International materials reviews, 2014 - Taylor & Francis
X-ray computer tomography (CT) is fast becoming an accepted tool within the materials
science community for the acquisition of 3D images. Here the authors review the current …

Self-consistent clustering analysis: an efficient multi-scale scheme for inelastic heterogeneous materials

Z Liu, MA Bessa, WK Liu - Computer Methods in Applied Mechanics and …, 2016 - Elsevier
The discovery of efficient and accurate descriptions for the macroscopic behavior of
materials with complex microstructure is an outstanding challenge in mechanics of …

A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials

Z Liu, CT Wu, M Koishi - Computer Methods in Applied Mechanics and …, 2019 - Elsevier
In this paper, a new data-driven multiscale material modeling method, which we refer to as
deep material network, is developed based on mechanistic homogenization theory of …

Overview of constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity finite-element modeling: Theory, experiments, applications

F Roters, P Eisenlohr, L Hantcherli, DD Tjahjanto… - Acta materialia, 2010 - Elsevier
This article reviews continuum-based variational formulations for describing the elastic–
plastic deformation of anisotropic heterogeneous crystalline matter. These approaches …

Digital rock physics benchmarks—Part II: Computing effective properties

H Andrä, N Combaret, J Dvorkin, E Glatt, J Han… - Computers & …, 2013 - Elsevier
This is the second and final part of our digital rock physics (DRP) benchmarking study. We
use segmented 3-D images (one for Fontainebleau, three for Berea, three for a carbonate …