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] Evaluation of computational homogenization methods for the prediction of mechanical properties of additively manufactured metal parts

NG March, DR Gunasegaram, AB Murphy - Additive Manufacturing, 2023 - Elsevier
It is well known that the strongly location-dependent microstructures observed in metal parts
made using additive manufacturing (AM) processes differ from those found in components …

Estimation of constituent properties of concrete materials with an artificial neural network based method

J Xue, JF Shao, N Burlion - Cement and Concrete Research, 2021 - Elsevier
Multi-scale models are developed for heterogeneous concrete materials to estimate their
macroscopic mechanical properties in terms of micro-structural data. One crucial challenge …

Approximate plastic yield criteria of geomaterials with pores and grains embedded in a porous matrix

WQ Shen - International Journal of Plasticity, 2022 - Elsevier
Mineral grains and porosity are two common properties of geomaterials. This study focuses
on establishing a macroscopic yield criterion for geomaterials having pores and mineral …

A constitutive model for anisotropic clay-rich rocks considering micro-structural composition

JJ Zhao, WQ Shen, JF Shao, ZB Liu, MN Vu - International Journal of Rock …, 2022 - Elsevier
A new constitutive model is developed in this paper for clay-rich rocks. This model describes
elastic, instantaneous and time-dependent plastic deformations, and induced damage. The …

A novel FFT-based phase field model for damage and cracking behavior of heterogeneous materials

YJ Cao, WQ Shen, JF Shao, W Wang - International Journal of Plasticity, 2020 - Elsevier
A novel numerical method is developed for three-dimensional modeling of damage and
cracking in heterogeneous rock-like materials. Two key issues are addressed. For the first …

Application of artificial neural networks to predict Young's moduli of cartilage scaffolds: an in-vitro and micromechanical study

A Khalvandi, S Saber-Samandari, MM Aghdam - Biomaterials Advances, 2022 - Elsevier
In this study, four-phase Gelatin-Polypyrrole-Akermanite-Magnetite scaffolds were fabricated
and analyzed using in-vitro tests and numerical simulations. Such scaffolds contained …

A multi-scale model of plasticity and damage for rock-like materials with pores and inclusions

YJ Cao, WQ Shen, JF Shao, W Wang - International Journal of Rock …, 2021 - Elsevier
A multi-scale model is developed for modeling of plastic deformation and induced damage
in rock-like materials containing pores and mineral inclusions. An analytical macroscopic …

Study of effective elastic properties of heterogeneous materials with an artificial neural network model

J Xue, Y Cao, J Shao, N Burlion - Mechanics of Materials, 2023 - Elsevier
This paper is devoted to the estimation of macroscopic elastic properties of composites
containing inclusions and pores. Some representative analytical homogenization models …

Numerical homogenization of elastic properties and plastic yield stress of rock-like materials with voids and inclusions at same scale

YJ Cao, WQ Shen, JF Shao, W Wang - European Journal of Mechanics-A …, 2020 - Elsevier
Mechanical properties of rock-like materials are affected by voids and mineral inclusions.
Different kinds of analytical solutions have been established for the determination of …