Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations

Abstract

In this paper, we consider a class of convection-diffusion equations with memory effects. These equations arise as a result of homogenization or upscaling of linear transport equations in heterogeneous media and play an important role in many applications. First, we present a dememorization technique for these equations. We show that the convection-diffusion equations with memory effects can be written as a system of standard convection diffusion reaction equations. This allows removing the memory term and simplifying the computations. We consider a relation between dememorized equations and micro-scale equations, which do not contain memory terms. We note that dememorized equations differ from microscale equations and constitute a macroscopic model. Next, we consider both implicit and partially explicit methods. The latter is introduced for problems in multiscale media with high-contrast properties. Because of high-contrast, explicit methods are restrictive and require time steps that are very small (scales as the inverse of the contrast). We show that, by appropriately decomposing the space, we can treat only a few degrees of freedom implicitly and the remaining degrees of freedom explicitly. We present a stability analysis. Numerical results are presented that confirm our theoretical findings about partially explicit schemes applied to dememorized systems of equations.

Constraint Energy Minimizing Generalized Multiscale Finite Element Method for multi-continuum Richards equations

“…Adaptivity can also be performed in the CEM-GMsFEM, as shown in [25,20,21]. Some recent applications of the CEM-GMsFEM can be found in [37,95,87]. With the CEM-GMsFEM's development, there have been important studies on the non-local multi-continuum (NLMC) method [94,82,24,83,84].…”