The Pressure-Robust Weak Galerkin Finite Element Method for Stokes-Darcy Problem

In this paper, we propose a pressure-robust weak Galerkin (WG) finite element scheme to solve the Stokes-Darcy problem. To construct the pressure-robust numerical scheme, we use the divergence-free velocity reconstruction operator to modify the test function on the right side of the numerical scheme. This numerical scheme is easy to implement because it only need to modify the right side. We prove the error between the velocity function and its numerical solution is independent of the pressure function and viscosity coefficient. Moreover, the errors of the velocity function reach the optimal convergence orders under the energy norm, as validated by both theoretical analysis and numerical results.

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Publication Details

Journal
Journal of Computational Mathematics
Published
2024-12-23
DOI
https://doi.org/10.4208/jcm.2411-m2024-0051
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

The Pressure-Robust Weak Galerkin Finite Element Method for Stokes-Darcy Problem

Jiwei Jia
Journal of Computational Mathematics
Advanced Numerical Methods in Computational Mathematics
article

The Pressure-Robust Weak Galerkin Finite Element Method for Stokes-Darcy Problem

Jiwei Jia
article en

Abstract

In this paper, we propose a pressure-robust weak Galerkin (WG) finite element scheme to solve the Stokes-Darcy problem. To construct the pressure-robust numerical scheme, we use the divergence-free velocity reconstruction operator to modify the test function on the right side of the numerical scheme. This numerical scheme is easy to implement because it only need to modify the right side. We prove the error between the velocity function and its numerical solution is independent of the pressure function and viscosity coefficient. Moreover, the errors of the velocity function reach the optimal convergence orders under the energy norm, as validated by both theoretical analysis and numerical results.

Journal of Computational Mathematics
Jilin University (CN), Jilin Medical University (CN)
Openalex Percentile: Top 74%
Advanced Numerical Methods in Computational Mathematics
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