The extended distributed microstructure model for gradient-driven transport: A two-scale model for bypassing effective parameters

JOURNAL OF COMPUTATIONAL PHYSICS

卷:327

Article

Carr, E. J.^1,2  Perre, P.²  Turner, I. W.^1,3 

[1] QUT, Sch Math Sci, Brisbane, Qld, Australia

[2] Univ Paris Saclay, Cent Supelec, LGPM, Chatenay Malabry, France

[3] QUT, Australian Res Council Ctr Excellence Math & Stat, Brisbane, Qld, Australia

关键词: Two-scale;    Multiscale;    Microstructure;    Dual-scale;    Heterogeneous;    Homogenization;   

DOI  :  10.1016/j.jcp.2016.10.004

来源: Elsevier

【 摘 要 】

Numerous problems involving gradient-driven transport processes-e.g., Fourier's and Darcy's law-in heterogeneous materials concern a physical domain that is much larger than the scale at which the coefficients vary spatially. To overcome the prohibitive computational cost associated with such problems, the well-established Distributed Microstructure Model (DMM) provides a two-scale description of the transport process that produces a computationally cheap approximation to the fine-scale solution. This is achieved via the introduction of sparsely distributed micro-cells that together resolve small patches of the fine-scale structure: a macroscopic equation with an effective coefficient describes the global transport and a microscopic equation governs the local transport within each micro-cell. In this paper, we propose a new formulation, the Extended Distributed Microstructure Model (EDMM), where the macroscopic flux is instead defined as the average of the microscopic fluxes within the micro-cells. This avoids the need for any effective parameters and more accurately accounts for a non-equilibrium field in the micro-cells. Another important contribution of the work is the presentation of a new and improved numerical scheme for performing the two-scale computations using control volume, Krylov subspace and parallel computing techniques. Numerical tests are carried out on two challenging test problems: heat conduction in a composite medium and unsaturated water flow in heterogeneous soils. The results indicate that while DMM is more efficient, EDMM is more accurate and is able to capture additional fine-scale features in the solution. (C) 2016 Elsevier Inc. All rights reserved.

【 授权许可】

Free