Unconditionally stable symplectic integrators for the Navier-Stokes equations and other dissipative systems
Sutthikiat Sungkeetanon, Joseph S. Gaglione, Robert L. Chapman, Tyler, M. Kelly, Howard A. Cushman, Blakeley H. Odom, Bryan MacGavin, Gafar A., Elamin, Nathan J. Washuta, Jonathan E. Crosmer, Adam C. DeVoria, John W., Sanders

TL;DR
This paper introduces unconditionally stable symplectic integrators tailored for dissipative systems like the Navier-Stokes equations, demonstrating superior accuracy and stability over traditional methods and pioneering their application to viscous fluid dynamics.
Contribution
It develops the first symplectic integration schemes for Navier-Stokes equations, leveraging variational structures to improve stability and accuracy in dissipative systems.
Findings
Schemes outperform implicit Euler and Runge-Kutta methods in viscous flow simulations.
First successful application of symplectic integrators to Navier-Stokes equations.
Schemes are unconditionally stable and more accurate for given time steps.
Abstract
Symplectic integrators offer vastly superior performance over traditional numerical techniques for conservative dynamical systems, but their application to \emph{dissipative} systems is inherently difficult due to dissipative systems' lack of symplectic structure. Leveraging the intrinsic variational structure of higher-order dynamics, this paper presents a general technique for applying existing symplectic integration schemes to dissipative systems, with particular emphasis on viscous fluids modeled by the Navier-Stokes equations. Two very simple such schemes are developed here. Not only are these schemes unconditionally stable for dissipative systems, they also outperform traditional methods with a similar degree of complexity in terms of accuracy for a given time step. For example, in the case of viscous flow between two infinite, flat plates, one of the schemes developed here is…
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Taxonomy
TopicsNumerical methods for differential equations · Power System Optimization and Stability
