Construct accurate multi-continuum micromorphic homogenisations in multi-D space-time with computer algebra
A. J. Roberts
TL;DR
The paper presents a phase-shift embedding and invariant-manifold framework for multi-continuum micromorphic homogenisation that works at finite scale separation and does not rely on averaging. By coupling phase-shift ensembles with rigorous dynamical-systems theory, it constructs M-mode macroscale models (including bi- and tri-continuum forms) that faithfully encode microscale physics, with provable error control and applicability to nonlinear, non-autonomous, and multi-D problems. The approach is demonstrated in 1-D diffusion, 2-D elasticity, and high-contrast laminates, revealing nonlocal regularisation and higher-order gradient effects that extend the predictive reach beyond classical homogenisation. Computer algebra plays a central role, enabling high-order calculations and flexible parameter choices, including functionally graded materials, while providing systematic guidelines for mode selection and boundary-condition treatment. The methodology offers a unified, physically grounded route to design and analyze enriched continua with adjustable spatial-temporal resolution, directly tied to microscopic mechanisms and phase shifts.
Abstract
Homogenisation empowers the efficient macroscale system level prediction of physical scenarios with intricate microscale structures. Here we develop an innovative powerful, rigorous and flexible framework for asymptotic homogenisation of dynamics at the \emph{finite} scale separation of real physics, with proven results underpinned by modern dynamical systems theory. The novel systematic approach removes most of the usual assumptions, whether implicit or explicit, of other methodologies. By no longer assuming averages the methodology constructs so-called multi-continuum or micromorphic homogenisations systematically informed by the microscale physics. The developed framework and approach enables a user to straightforwardly choose and create such homogenisations with clear physical and theoretical support, and of highly controllable accuracy and fidelity.
