Pressure-Robust Staggered DG Methods for the Navier–Stokes Equations on General Meshes

Abstract In this paper, we design and analyze staggered discontinuous Galerkin methods of arbitrary polynomial orders for the stationary Navier–Stokes equations on polygonal meshes. The exact divergence-free condition for the velocity is satisfied thanks to the carefully designed finite element spaces. The resulting method is pressure-robust so that the pressure approximation does not influence the velocity approximation, which is highly appreciated from a practical point of view. An edge-wise stabilization is proposed for the nonlinear convective term, which preserves the non-negativity. The optimal convergence estimates for all the variables in the $$L^2$$ L 2 norm are proved. For a small enough rotational force, the velocity error is independent of the Reynolds number and of the pressure. Superconvergence can be achieved for the velocity error under a suitable projection. Numerical experiments are provided to validate the theoretical findings and demonstrate the performance of the proposed method.

Authors

Institutions

Publication Details

Journal
Journal of Scientific Computing
Published
2026-09-10
DOI
https://doi.org/10.1007/s10915-026-03460-z
Citations
2
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pressure-Robust Staggered DG Methods for the Navier–Stokes Equations on General Meshes

Lina Zhao, Eun‐Jae Park, Eric T. Chung, Dohyun Kim
2 citations
Journal of Scientific Computing
Advanced Numerical Methods in Computational Mathematics
article

Pressure-Robust Staggered DG Methods for the Navier–Stokes Equations on General Meshes

Lina Zhao, Eun‐Jae Park, Eric T. Chung, Dohyun Kim
article en
2 citations

Abstract

Abstract In this paper, we design and analyze staggered discontinuous Galerkin methods of arbitrary polynomial orders for the stationary Navier–Stokes equations on polygonal meshes. The exact divergence-free condition for the velocity is satisfied thanks to the carefully designed finite element spaces. The resulting method is pressure-robust so that the pressure approximation does not influence the velocity approximation, which is highly appreciated from a practical point of view. An edge-wise stabilization is proposed for the nonlinear convective term, which preserves the non-negativity. The optimal convergence estimates for all the variables in the $$L^2$$ L 2 norm are proved. For a small enough rotational force, the velocity error is independent of the Reynolds number and of the pressure. Superconvergence can be achieved for the velocity error under a suitable projection. Numerical experiments are provided to validate the theoretical findings and demonstrate the performance of the proposed method.

Journal of Scientific ComputingVol. 109(2)
City University of Hong Kong (HK), Chinese University of Hong Kong (HK), Yonsei University (KR)
Openalex Percentile: Top 100%
Advanced Numerical Methods in Computational Mathematics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.