Robust Error Estimates for Second‐Order Stabilization Finite Element Method for Navier–Stokes Equations With Small Viscosity and Nonsmooth Initial Data

ABSTRACT In this article, we study the fully discrete finite element approximation to the two‐dimensional Navier–Stokes equations with a small viscosity coefficient and initial data by using semi‐implicit two‐step backward differentiation formulae (BDF2) method with variable step‐sizes and grad‐div stabilization. The variable step sizes allow us to take special viscosity‐dependent, locally refined time step sizes and thus prove that the variable step‐size BDF2 method can achieve second‐order convergence in time. By adding the grad‐div stabilization, we obtain a robust, fully discrete error bound in which the constants reduce dependence on inverse powers of the viscosity. Numerical results illustrate the effectiveness of the proposed method for such types of Navier–Stokes equations.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2024-12-30
DOI
https://doi.org/10.1002/num.23166
Citations
2
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.75

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article

Robust Error Estimates for Second‐Order Stabilization Finite Element Method for Navier–Stokes Equations With Small Viscosity and Nonsmooth Initial Data

Wansheng Wang, Chengyu Jin, Shuo Yang
2 citations
Numerical Methods for Partial Differential Equations
Advanced Numerical Methods in Computational Mathematics
0.75
article

Robust Error Estimates for Second‐Order Stabilization Finite Element Method for Navier–Stokes Equations With Small Viscosity and Nonsmooth Initial Data

Wansheng Wang, Chengyu Jin, Shuo Yang
article en
2 citations

Abstract

ABSTRACT In this article, we study the fully discrete finite element approximation to the two‐dimensional Navier–Stokes equations with a small viscosity coefficient and initial data by using semi‐implicit two‐step backward differentiation formulae (BDF2) method with variable step‐sizes and grad‐div stabilization. The variable step sizes allow us to take special viscosity‐dependent, locally refined time step sizes and thus prove that the variable step‐size BDF2 method can achieve second‐order convergence in time. By adding the grad‐div stabilization, we obtain a robust, fully discrete error bound in which the constants reduce dependence on inverse powers of the viscosity. Numerical results illustrate the effectiveness of the proposed method for such types of Navier–Stokes equations.

Numerical Methods for Partial Differential EquationsVol. 41(1)
Shanghai Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 30%
Advanced Numerical Methods in Computational Mathematics
0.75
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Robust Error Estimates for Second‐Order Stabilization Finite Element Method for Navier–Stokes Equations With Small Viscosity and Nonsmooth Initial Data — Wansheng Wang, Chengyu Jin, et al. · Numerical Methods for Partial Differential Equations (2024) | TGRS Research Map | TGRS