Numerical resolution of diffusion equations using a weakly monotone finite volume method on tetrahedral meshes

In this paper, we propose and extend the weakly monotone finite volume (WMFV) technique to discretize parabolic equations in 3D on tetrahedral meshes with anisotropy.The key idea is to introduce a nonlinear correction coefficient based on a centered approximation of the mobility function.This approach eliminates anti-diffusive fluxes, leading to a more accurate, robust, and efficient solver.Numerical validations are conducted to emphasize the accuracy and the stability of our method.Comparisons to the standard control volume finite element method and to its positive version are also provided.

Publication Details

Journal
Journal of Applied and Numerical Optimization
Published
2025-01-01
DOI
https://doi.org/10.23952/jano.7.2025.1.02
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical resolution of diffusion equations using a weakly monotone finite volume method on tetrahedral meshes

Journal of Applied and Numerical Optimization
Advanced Numerical Methods in Computational Mathematics
article

Numerical resolution of diffusion equations using a weakly monotone finite volume method on tetrahedral meshes

article en

Abstract

In this paper, we propose and extend the weakly monotone finite volume (WMFV) technique to discretize parabolic equations in 3D on tetrahedral meshes with anisotropy.The key idea is to introduce a nonlinear correction coefficient based on a centered approximation of the mobility function.This approach eliminates anti-diffusive fluxes, leading to a more accurate, robust, and efficient solver.Numerical validations are conducted to emphasize the accuracy and the stability of our method.Comparisons to the standard control volume finite element method and to its positive version are also provided.

Journal of Applied and Numerical OptimizationVol. 7(1)
Conseil départemental de la Marne, European Commission
Openalex Percentile: Top 94%
Advanced Numerical Methods in Computational Mathematics
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