A Hierarchical Coupled Multi-Scale Model for Short Fiber Composites

Abstract

Short Fiber Reinforced Composites (SFRCs) are being increasingly used in a variety of applications due to their interesting mechanical properties and ease of processing. For SFRCs, different micro-structural parameters (in addition to the constitutive behaviour of the matrix and reinforcement fibers), such as fiber orientation distribution, fiber aspect ratio and fiber/matrix interface strength play important roles in the macroscopic mechanical behaviour. Hence, to have an accurate and reliable modelling approach, using multi-scale models is a natural choice. In this study, a coupled multi-scale model is proposed using a recently developed micromechanical model and the Finite Element Method. The proposed model enables analysis of macroscopic specimens considering micro-structural properties.

A micromechanics‐based recurrent neural networks model for path‐dependent cyclic deformation of short fiber composites

“…Despite accurate predictions, it is not always feasible to use this approach due to some challenges such as difficult RVE generation and expensive simulations 1‐4 . Alternatively, two‐step and mean‐field methods have been developed and used during the last decades (see more information in e.g., References 5‐7).…”