A scale-dependent Lagrangian dynamic model for large eddy simulation of complex turbulent flows
Johns Hopkins University · École Polytechnique Fédérale de Lausanne
Abstract
A scale-dependent dynamic subgrid model based on Lagrangian time averaging is proposed and tested in large eddy simulations (LES) of high-Reynolds number boundary layer flows over homogeneous and heterogeneous rough surfaces. The model is based on the Lagrangian dynamic Smagorinsky model in which required averages are accumulated in time, following fluid trajectories of the resolved velocity field. The model allows for scale dependence of the coefficient by including a second test-filtering operation to determine how the coefficient changes as a function of scale. The model also uses the empirical observation that when scale dependence occurs (such as when the filter scale approaches the limits of the inertial…
Citation impact
- FWCI
- 18.27
- Percentile
- 100%
- References
- 63
Authors
3Topics & keywords
- Physics
- Turbulence
- Mechanics
- Large eddy simulation
- Boundary layer
- Statistical physics
- Reynolds number
- Turbulence modeling