Micromechanical and numerical analysis of shape and packing effects in elastic-plastic particulate composites

TL;DR

This study develops a micromechanical model to analyze how particle shape and packing influence the macroscopic behavior of elastic-plastic composites, offering an efficient alternative to computational homogenization.

Contribution

It introduces a modified Morphologically Representative Pattern scheme incorporating the Replacement Mori-Tanaka Model for better analysis of shape and packing effects in particulate composites.

Findings

The model accurately predicts composite behavior for various particle shapes.

It matches well with numerical simulations and classical mean-field models.

The approach is effective for elastic-plastic composite analysis.

Abstract

The purpose of this study is to inspect the combined effect of reinforcement shape and packing on the macroscopic behaviour of particulate composites. The introduced micromechanical approach modifies the Morphologically Representative Pattern scheme with the Replacement Mori-Tanaka Model. The statistical volume elements have randomly placed inclusions with a selected shape. Four shapes of inhomogeneities are studied: a sphere, a prolate spheroid, three prolate spheroids crossing at right angles, and a drilled spheroid. The concentration tensors of non-ellipsoidal inhomogeneities are found numerically using simple simulations of a single particle. The extension to the regime of non-linear material behaviour is performed by employing the tangent or secant incremental linearization of the material response. The results are compared with the outcomes of numerical simulations and predictions of the classical mean-field models based on the Eshelby solution, e.g., the Mori-Tanaka model or the Self-Consistent scheme. It is found that the proposed modification of the Morphologically Representative Pattern approach can be used as an alternative to computational homogenization in the case of elastic-plastic composites with different shapes and packings of particles.