On the modelling of the subgrid-scale and filtered-scale stress tensors in large-eddy simulation

The large-eddy simulation (LES) equations are obtained from the application of two operators to the Navier-Stokes equations: a smooth filter and a discretization operator. The introduction ab initio of the discretization influences the structure of the unknown stress in the LES equations, which now contain a subgrid-scale stress tensor mainly due to discretization, and a filtered-scale stress tensor mainly due to filtering. Theoretical arguments are proposed supporting eddy viscosity models for the subgrid-scale stress tensor. However, no exact result can be derived for this term because the discretization is responsible for a loss of information and because its exact nature is usually unknown. The situation is different for the filtered-scale stress tensor for which an exact expansion in terms of the large-scale velocity and its derivatives is derived for a wide class of filters including the Gaussian, the tophat and all discrete filters. As a consequence of this generalized result, the filtered-scale stress tensor is shown to be invariant under the change of sign of the large-scale velocity. This implies that the filtered-scale stress tensor should lead to reversible dynamics in the limit of zero molecular viscosity when the discretization effects are neglected. Numerical results that illustrate this effect are presented together with a discussion on other approaches leading to reversible dynamics like the scale similarity based models and, surprisingly, the dynamic procedure.

[1]  A. Leonard Energy Cascade in Large-Eddy Simulations of Turbulent Fluid Flows , 1975 .

[2]  D. Carati,et al.  On the self-similarity assumption in dynamic models for large eddy simulations , 1997 .

[3]  Steven A. Orszag,et al.  Local energy flux and subgrid-scale statistics in three-dimensional turbulence , 1998, Journal of Fluid Mechanics.

[4]  P. Moin,et al.  A dynamic subgrid‐scale eddy viscosity model , 1990 .

[5]  O. Vasilyev,et al.  Testing of a new mixed model for LES: the Leonard model supplemented by dynamic Smagorinsky term , 1998 .

[6]  D. Thomson,et al.  Stochastic backscatter in large-eddy simulations of boundary layers , 1992, Journal of Fluid Mechanics.

[7]  R. Rogallo Numerical experiments in homogeneous turbulence , 1981 .

[8]  J. Koseff,et al.  A dynamic mixed subgrid‐scale model and its application to turbulent recirculating flows , 1993 .

[9]  E. Saiki,et al.  A subgrid-scale model based on the estimation of unresolved scales of turbulence , 1997 .

[10]  Parviz Moin,et al.  On the representation of backscatter in dynamic localization models , 1995 .

[11]  M. Germano,et al.  Turbulence: the filtering approach , 1992, Journal of Fluid Mechanics.

[12]  N. Adams,et al.  An approximate deconvolution procedure for large-eddy simulation , 1999 .

[13]  J. Smagorinsky,et al.  GENERAL CIRCULATION EXPERIMENTS WITH THE PRIMITIVE EQUATIONS , 1963 .

[14]  Grégoire Winckelmans,et al.  A Tensor-Diffusivity Subgrid Model for Large-Eddy Simulation , 1999 .

[15]  Woon Kwang Yeo A Generalized High Pass/Low Pass Averaging Procedure for Deriving and Solving Turbulent Flow Equations , 1987 .

[16]  A. Leonard Large-eddy simulation of chaotic convection and beyond , 1997 .

[17]  D. Lilly,et al.  A proposed modification of the Germano subgrid‐scale closure method , 1992 .

[18]  P. Moin,et al.  A General Class of Commutative Filters for LES in Complex Geometries , 1998 .

[19]  Hervé Jeanmart,et al.  Explicit-filtering large-eddy simulation using the tensor-diffusivity model supplemented by a dynami , 2001 .

[20]  C. E. Leith,et al.  Stochastic backscatter in a subgrid-scale model: Plane shear mixing layer , 1990 .

[21]  P. Moin,et al.  A dynamic localization model for large-eddy simulation of turbulent flows , 1995, Journal of Fluid Mechanics.

[22]  N. Mansour Large-eddy simulation of a turbulent mixing layer , 1978 .