Computational modeling is essential in the development and application of metal additive
manufacturing (MAM). Most materials processed by laser or electron beam MAM exhibit a …

This study aims to develop various machine learning (ML) models to investigate the self-
healing capacity of engineered cementitious composites (ECC) and to evaluate the effect of …

Pearlitic steels possess excellent mechanical properties due to their multiscale
microstructures, yet this configuration introduces complex size and interface effects …

Under mechanical loading, the strain hardening behavior of crystalline face-centered cubic
(FCC) metals is of critical importance in determining fracture behavior and overall …

In this study, a microdamage model by introducing the damage of crystal is proposed.
Damage variables are defined for each slip system, and the damage-coupled crystal …

In this study, a microdamage model is newly proposed to predict the failure process of FCC
single crystals. Two micro damage mechanisms, slip and cleavage, are both involved in the …

The paper explores plastic deformation mechanisms in metal–graphene nanocomposites,
illustrating their material strengthening effects through a crystal plasticity finite element …

Noncovalent interactions in 63 elastic and plastic crystals were calculated aiming at
establishing correlations with the empirically observed mechanical behavior upon bending …

Using metal additive manufacturing processes can make up for traditional forging
technologies when forming complex-shaped parts. At the same time, metal additive …

The anisotropy of yield strength of additive manufactured (AM) Al-Mn-Sc alloy is attributed to
the diverse distribution characteristics of grain size, aspect ratio and orientation. This work …