Non-local modeling with asymptotic expansion homogenization of random materials
Sami Ben Elhaj Salah, Azdine Nait-Ali, Mikael Gueguen, Carole, Nadot-Martin

TL;DR
This paper develops a non-local homogenized model for 3D composite materials with randomly distributed inclusions, using asymptotic expansion homogenization that accounts for stochastic parameters, enhancing understanding of their macroscopic behavior.
Contribution
It introduces a stochastic parameter into AEH for modeling random composites, combining variational methods with mean-ergodicity to improve homogenization accuracy.
Findings
Successful modeling of random composite behavior
Enhanced homogenization method incorporating stochasticity
Insights into macroscopic properties of random materials
Abstract
The aim of this study is to build a non-local homogenized model for three-dimensional composites with inclusions randomly embedded within a matrix according to a stochastic point process w in a bounded open set associated with a suitable probability space). Both phases were linear elastic. Asymptotic expansion homogenization (AEH) was revisited by taking into account the stochastic parameter representing the inclusion centers distribution. The macroscopic behavior was then studied by combining the variational approach with the mean-ergodicity.
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