Since the beginning of the industrial age, material performance and design have been in the
midst of innovation of many disruptive technologies. Today's electronics, space, medical …

Following their discovery in the early 1960s, there has been a continuous quest for ways to
take advantage of the extraordinary properties of shape memory alloys (SMAs). These …

This article focuses on computational multiscale methods for the mechanical response of
nonlinear heterogeneous materials. After a short historical note, a brief overview is given of …

Short fiber reinforced composites have a variety of micro-structural parameters that affect
their macro-mechanical performance. A modeling methodology, capable of accommodating …

In this work, we propose a fully coupled multiscale strategy for components made from short
fiber reinforced composites, where each Gauss point of the macroscopic finite element …

We investigate deep material networks (DMNs), recently introduced by Liu et al.[Comput.
Method Appl. M., vol. 345, pp. 1138–1168, 2019], from the viewpoint of classical …

A new micro-mechanical model for predicting the non-linear elasto-plastic behavior of short
fiber reinforced composites is presented. The model is developed based on a two-step …

To develop physics-based models and establish a structure–property relationship for short
fiber composites, there are a wide range of micro-structural properties to be considered. To …

An original approach is proposed in order to compute the homogenized response of
composite materials with elasto-(visco) plastic constituents. The formulation is based on an …

In this work, we propose to use deep material networks (DMNs) as a surrogate model for full-
field computational homogenization to inversely identify material parameters of constitutive …