Pressure-improved Scott–Vogelius type elements

The Scott-Vogelius element is a popular finite element for the discretization of the Stokes equations which enjoys inf-sup stability and gives divergence-free velocity approximations. However, it is well known that the convergence rates for the discrete pressure deteriorate in the presence of certain <i>critical vertices</i> in a triangulation of the domain. Modifications of the Scott-Vogelius element such as the recently introduced pressure-wired Stokes element also suffer from this effect. In this paper we introduce a simple modification strategy for these pressure spaces that preserves the inf-sup stability while the pressure converges at an optimal rate.

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Publication Details

Journal
CALCOLO
Published
2024-12-28
DOI
https://doi.org/10.1007/s10092-024-00627-8
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Pressure-improved Scott–Vogelius type elements

Benedikt Gräßle, Stefan Sauter, Nis-Erik Bohne
CALCOLO
Advanced Numerical Methods in Computational Mathematics
article

Pressure-improved Scott–Vogelius type elements

Benedikt Gräßle, Stefan Sauter, Nis-Erik Bohne
article en

Abstract

The Scott-Vogelius element is a popular finite element for the discretization of the Stokes equations which enjoys inf-sup stability and gives divergence-free velocity approximations. However, it is well known that the convergence rates for the discrete pressure deteriorate in the presence of certain <i>critical vertices</i> in a triangulation of the domain. Modifications of the Scott-Vogelius element such as the recently introduced pressure-wired Stokes element also suffer from this effect. In this paper we introduce a simple modification strategy for these pressure spaces that preserves the inf-sup stability while the pressure converges at an optimal rate.

CALCOLOVol. 62(1)
University of Zurich (CH)
Deutsche Forschungsgemeinschaft, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Universität Zürich
Openalex Percentile: Top 73%
Advanced Numerical Methods in Computational Mathematics
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