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A face-centred finite volume approach for coupled transport phenomena and fluid flow.

Authors :
Burcet, Martí
Oliveira, Beñat
Afonso, Juan Carlos
Zlotnik, Sergio
Source :
Applied Mathematical Modelling. Jan2024:Part A, Vol. 125, p293-312. 20p.
Publication Year :
2024

Abstract

We present a particular derivation of the face-centred finite volume (FCFV) method and study its performance in non-linear, coupled transport problems commonly encountered in geoscientific and geotechnical applications. The FCFV method is derived from the hybridisable discontinuous Galerkin formulation, using a constant degree of approximation for the discretization of the unknowns defined on the mesh faces (edges in two dimensions). The piecewise constant degrees of freedom are determined in a global problem over the mesh skeleton. Then, the solution and its gradient are recovered at the cells centroid in a set of element-by-element independent postprocesses, both exhibiting linear convergence. The formulation of the transient advection-diffusion-reaction equation is presented in detail and the numerical analysis under challenging advective/diffusive regimes is studied. Finally, we use several numerical examples to illustrate the advantages and limitations of the FCFV method to solve problems of geoscientific and geotechnical relevance governed by the non-linear coupling between advection-diffusion-reactive transport and Stokes flow. Our results show that the FCFV method is an attractive and highly competitive alternative to other commonly used methods. • FCFV approach for solving ADR problems coupled with Stokes flow. • Linear convergence of the primal variable's gradient without flux reconstruction. • Accurate in advection-dominated scenarios with both uniform and distorted meshes. • All unknowns defined on the same nodes, favourable for non-linear coupled problems. • Performance is validated with multiple challenging cases of geoscientific relevance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0307904X
Volume :
125
Database :
Academic Search Index
Journal :
Applied Mathematical Modelling
Publication Type :
Academic Journal
Accession number :
173279818
Full Text :
https://doi.org/10.1016/j.apm.2023.08.031