Stability in 3d of a sparse grad-div approximation of the Navier-Stokes equations
William Layton, Shuxian Xu

TL;DR
This paper develops and analyzes a stable, decoupled sparse grad-div method for 3D incompressible Navier-Stokes equations, improving mass conservation while maintaining computational efficiency and stability over long time simulations.
Contribution
It synthesizes a fully decoupled, parallel sparse grad-div method with the modular approach and proves its unconditional stability in 3D for certain parameter choices.
Findings
The method is unconditionally stable in 3D for α ≥ 0.5γ.
It effectively controls the divergence of velocity in simulations.
Numerical tests confirm theoretical stability and mass conservation improvements.
Abstract
Inclusion of a term , forcing to be pointwise small, is an effective tool for improving mass conservation in discretizations of incompressible flows. However, the added grad-div term couples all velocity components, decreases sparsity and increases the condition number in the linear systems that must be solved every time step. To address these three issues various sparse grad-div regularizations and a modular grad-div method have been developed. We develop and analyze herein a synthesis of a fully decoupled, parallel sparse grad-div method of Guermond and Minev with the modular grad-div method. Let denote the diagonal of , and an adjustable parameter. The 2-step method considered is $$\begin{eqnarray} 1…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Advanced Numerical Methods in Computational Mathematics · Gas Dynamics and Kinetic Theory
