Half-explicit Runge-Kutta integrators for variational multiscale turbulence modeling: Toward higher-order accuracy in space and time
Yujie Sun, Chi Ding, Ju Liu

TL;DR
This paper introduces half-explicit Runge-Kutta schemes within the variational multiscale framework for turbulence modeling, achieving higher-order accuracy in space and time, with improved stability and fidelity in large-eddy simulations.
Contribution
It develops a mathematically consistent Runge-Kutta approach for VMS turbulence modeling, enabling higher-order temporal accuracy and better stability properties.
Findings
Enhanced dissipation and dispersion properties with Rothe method
Superior performance in Taylor-Green vortex simulations
Accurate capture of flow instabilities in cavity flow
Abstract
The residual-based variational multiscale (VMS) formulation has achieved remarkable success in large-eddy simulation of turbulent flows. However, its temporal discretization has largely remained limited to second-order implicit schemes. The present work aims at advancing this direction through the introduction of Runge-Kutta (RK) schemes within the VMS framework in a mathematically consistent manner. Guided by the Rothe method, the half-explicit RK scheme is employed as its accuracy is theoretically guaranteed for index-2 differential-algebraic equations. Owing to the explicit treatment of the nonlinear term, the resulting spatial problem exhibits a structure analogous to that of the Darcy equation. Following the philosophy of the VMS analysis, a subgrid-scale model is derived without invoking linearization based on perturbation series and related assumptions. The analysis further…
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Taxonomy
TopicsNumerical methods for differential equations · Advanced Numerical Methods in Computational Mathematics · Nonlinear Dynamics and Pattern Formation
