A dynamic global-coefficient subgrid-scale eddy-viscosity model for large-eddy simulation in complex geometries

By Donghyun You, Parviz Moin. 2007

191 citations recorded by the source corpus.

An improvement of the dynamic procedure of Park et al. [Phys. Fluids 18, 125109 (2006)] for closure of the subgrid-scale eddy-viscosity model developed by Vreman [Phys. Fluids 16, 3670 (2004)] is proposed. The model coefficient which is globally constant in space but varies in time is dynamically determined assuming the “global equilibrium” between the subgrid-scale dissipation and the viscous dissipation of which utilization was proposed by Park et al. Like the Vreman model with a fixed coefficient and the dynamic-coefficient model of Park et al., the present model predicts zero eddy-viscosity in regions where the vanishing eddy viscosity is theoretically expected. The present dynamic model is especially suitable for large-eddy simulation in complex geometries since it does not require any ad hoc spatial and temporal averaging or clipping of the model coefficient for numerical stabilization and more importantly, requires only a single-level test filter in contrast to the dynamic model of Park et al., whi...

Subfields: Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/1d4bcd97edf2d3c1dd25fa1be20543dad05b9fc8

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Citations in the corpus

Aerodynamics of Heavy Vehicles (2014, background): “Alternatively, the dynamic global model (Lee et al. 2010, Park et al. 2006, You & Moin 2007) does not require any flow homogeneity and determines the model coefficient based on volume averaging.”
Active Control of Flow Separation Over an Airfoil Using Synthetic Jets (2008, background): “, 1991) or the dynamic global-coefficient model (You and Moin, 2007).”
Unstructured Large-Eddy Simulations of Supersonic Jets (2017, background): “makes it arguably superior to the Smagorinskymodel with a constant coefficient is that it theoretically guarantees zero-eddy viscosity in the laminar and fully resolved flow regions [32].”
Exponential roughness layer and analytical model for turbulent boundary layer flow over rectangular-prism roughness elements (2016, methodology): “Simulation set-up We use the in-house finite-difference code Vicar3D to solve the incompressible filtered Navier–Stokes equations, including the Vreman subgrid-scale model (Vreman 2004; You & Moin 2007) and the iWMLES model for the near-wall closure (Yang et al. 2015).”