This work reviews state of the art representative volume element (RVE) generation
techniques for heterogeneous materials. To this end, we present a systematic classification …

Modelling and simulation techniques are now considered an essential practice for the
materials industry. In order to gain insight into factors that can affect the final properties of a …

We present an application of data analytics and supervised machine learning to allow
accurate predictions of the macroscopic stiffness and yield strength of a unidirectional …

A novel method to predict the mechanical responses of arbitrary microstructures from the
deep learning of microstructures and their stress-strain response is presented in this work …

A novel adaptive greedy-based generation (GBG) algorithm is proposed to generate 2D
random distribution of fibers for unidirectional composites. Inspired by greedy algorithm, the …

In the present report some basic issues of and some of the modeling strategies used for
studying static and quasistatic problems in continuum micromechanics of materials are …

In the past few decades, extensive research on concrete modeling to predict behavior, crack
propagation, microcrack coalescence by utilizing different approaches (fracture mechanics …

Developing a high-fidelity stochastic multi-scale modelling framework that can capture the
structure–property relationship in a computationally efficient manner is of interest to the …

This paper reports a study of the initiation of the first failure event in unidirectional
composites subjected to transverse tension. Two energy based point failure criteria–critical …

Random and periodic representations of composite microstructures are inherently different
both in terms of the resultant range of stresses that each phase carries as well as the total …