A Monolithic Computational Homogenization Framework for Nearly Incompressible Magnetoelastic Composites
L. River Spencer, Manuel K. Rausch, Chad M. Landis, Jan N. Fuhg

TL;DR
This paper introduces a fully coupled, monolithic computational homogenization framework for nearly incompressible magnetoelastic composites, enabling robust 3D simulations of complex microstructures under large deformations.
Contribution
It develops a novel monolithic finite-element approach with J-bar stabilization for accurately modeling nearly incompressible magnetoelastic materials at the microscale.
Findings
Particle interactions significantly affect deformation patterns.
Microstructural arrangement influences the effective response.
Inclusion compressibility impacts the overall magneto-mechanical behavior.
Abstract
Magneto-active elastomers exhibit large, nonlinear deformations under combined mechanical loading and magnetic fields, and their effective behavior is strongly governed by microstructural heterogeneity. Predictive modeling of these materials is challenging because their response involves strong magneto-mechanical coupling, large deformations, and the nearly incompressible behavior of elastomeric matrices. Existing multiscale approaches often rely on staggered strategies or formulations that do not robustly treat near-incompressibility in strongly coupled settings. This work presents a fully coupled computational homogenization framework for nearly incompressible magnetoelastic composites in which the mechanical deformation and magnetostatic fields are solved monolithically on a representative volume element (RVE). The microscale problem uses a mixed finite-element discretization with…
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