2020
DOI: 10.1007/s10915-020-01165-5
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Numerical Analysis of a BDF2 Modular Grad–Div Stabilization Method for the Navier–Stokes Equations

Abstract: A second-order accurate modular algorithm is presented for a standard BDF2 code for the Navier-Stokes equations (NSE). The algorithm exhibits resistance to solver breakdown and increased computational efficiency for increasing values of grad-div parameters. We provide a complete theoretical analysis of the algorithms stability and convergency. Computational tests are performed and illustrate the theory and advantages over monolithic grad-div stabilizations.

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Cited by 20 publications
(7 citation statements)
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“… 2014 ; Neilan and Zytoon 2020 ; Qin et al. 2020 ; Rong and Fiordilino 2020 ). Thanks to this stabilization term, we have the stability for the Darcy–Brinkman equation (see Xie et al.…”
Section: Numerical Simulationmentioning
confidence: 99%
“… 2014 ; Neilan and Zytoon 2020 ; Qin et al. 2020 ; Rong and Fiordilino 2020 ). Thanks to this stabilization term, we have the stability for the Darcy–Brinkman equation (see Xie et al.…”
Section: Numerical Simulationmentioning
confidence: 99%
“…This section makes the method and result precise and proves stability for α ≥ 0.5γ and control of ∇ • u for α > 0.5γ for the modular sparse graddiv algorithm. This work builds on Guermond and Minev [10], the work on modular grad-div in [8] and Rong and Fiordilino [20] and the numerical tests of a related method in Demir and Kaya [7]. We suppress the traditional sub-or super-scripts "h" in finite element formulations.…”
Section: Analysis Of Modular Sparse Grad-divmentioning
confidence: 99%
“…In this validation experiment, we consider the famous Laminar flow past a cylinder [50], which is also called the Schäfer-Turek benchmark. It is popular with the literature about the time-dependent Navier-Stokes equations [14,27,39,49]. Our purpose of solving the stationary equations is to investigate the appearance and evolution of the symmetric vortices behind the cylinder as the Reynolds number increases.…”
Section: Example 3: Robustness For Irrotational Body Forcesmentioning
confidence: 99%