A pressure-robust virtual element method for the Stokes problem

We present an arbitrary-order pressure-robust nonconforming virtual element method for the Stokes problem. Based on the local subtriangulations of polygons and the requirement of recovering the orthogonality between the velocity virtual space and the gradient forces, we introduce a computable reconstruction operator by modifying the classical Brezzi–Douglas–Marini interpolation operator. Under the shape regularity conditions, we show that the broken H 1 -semi-norm and L 2 -norm estimates of the velocity are independent of the pressure and the viscosity coefficient, and achieve the optimal convergence rates. Numerical results confirm the pressure-robust property and the uniform convergence of the method, especially when higher-order approximations are used.

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Publication Details

Journal
ESAIM. Mathematical modelling and numerical analysis
Published
2025-09-01
DOI
https://doi.org/10.1051/m2an/2025076
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

A pressure-robust virtual element method for the Stokes problem

Hongxing Rui, Weihua Fang
ESAIM. Mathematical modelling and numerical analysis
Advanced Numerical Methods in Computational Mathematics
article

A pressure-robust virtual element method for the Stokes problem

Hongxing Rui, Weihua Fang
article en

Abstract

We present an arbitrary-order pressure-robust nonconforming virtual element method for the Stokes problem. Based on the local subtriangulations of polygons and the requirement of recovering the orthogonality between the velocity virtual space and the gradient forces, we introduce a computable reconstruction operator by modifying the classical Brezzi–Douglas–Marini interpolation operator. Under the shape regularity conditions, we show that the broken H 1 -semi-norm and L 2 -norm estimates of the velocity are independent of the pressure and the viscosity coefficient, and achieve the optimal convergence rates. Numerical results confirm the pressure-robust property and the uniform convergence of the method, especially when higher-order approximations are used.

ESAIM. Mathematical modelling and numerical analysisVol. 59(5)
Shandong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 74%
Advanced Numerical Methods in Computational Mathematics
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