Smoothing analysis of two-color distributive relaxation for solving 2D Stokes flow by multigrid method
Xingwen Zhu, Lixiang Zhang

TL;DR
This paper theoretically analyzes the smoothing properties of a two-color distributive relaxation method for 2D Stokes flow, using local Fourier analysis to optimize parameters and improve multigrid convergence.
Contribution
It develops a mathematical framework for the two-color distributive relaxation method, deriving optimal parameters and establishing a convergence zone for the pressure stabilization term.
Findings
The smoothing effectiveness depends on the pressure stabilization parameters.
A specific parameter zone ensures convergence independent of mesh size.
Analytical expressions guide optimal parameter selection.
Abstract
Smoothing properties of two-color distributive relaxation for solving a two-dimensional (2D) Stokes flow by multigrid method are theoretically investigated by using the local Fourier analysis (LFA) method. The governing equation of the 2D Stokes flow in consideration is discretized with the non-staggered grid and an added pressure stabilization term with stabilized parameters to be determined is introduced into the discretization system in order to enhance the smoothing effectiveness in the analysis. So, an important problem caused by the added pressure stabilization term is how to determine a suitable zone of parameters in the added term. To that end, theoretically, a two-color distributive relaxation, developed on the two-color Jacobi point relaxation, is established for the 2D Stokes flow. Firstly, a mathematical constitution based on the Fourier modes with various frequency…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Lattice Boltzmann Simulation Studies · Computational Fluid Dynamics and Aerodynamics
