Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-05-04T15:19:53.576Z Has data issue: false hasContentIssue false

Realizability conditions for the turbulent stress tensor in large-eddy simulation

Published online by Cambridge University Press:  26 April 2006

Bert Vreman
Affiliation:
Department of Applied Mathematics, University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands
Bernard Geurts
Affiliation:
Department of Applied Mathematics, University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands
Hans Kuerten
Affiliation:
Department of Applied Mathematics, University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands

Abstract

The turbulent stress tensor in large-eddy simulation is examined from a theoretical point of view. Realizability conditions for the components of this tensor are derived, which hold if and only if the filter function is positive. The spectral cut-off, one of the filters frequently used in large-eddy simulation, is not positive. Consequently, the turbulent stress tensor based on spectrally filtered fields does not satisfy the realizability conditions, which leads to negative values of the generalized turbulent kinetic energy k. Positive filters, e. g. Gaussian or top-hat, always give rise to a positive k. For this reason, subgrid models which require positive values for k should be used in conjunction with e. g. the Gaussian or top-hat filter rather than with the spectral cutoff filter. If the turbulent stress tensor satisfies the realizability conditions, it is natural to require that the subgrid model for this tensor also satisfies these conditions. With respect to this point of view several subgrid models are discussed. For eddy-viscosity models a lower bound for the generalized turbulent kinetic energy follows as a necessary condition. This result provides an inequality for the model constants appearing in a ‘Smagorinsky-type’ subgrid model for compressible flows.

Type
Research Article
Copyright
© 1994 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bardina, J., Ferziger, J. H. & Reynolds, W. C. 1984 Improved turbulence models based on LES of homogeneous incompressible turbulent flows. Rep. TF-19. Department of Mechanical Engineering, Stanford.
Clark, R. A., Ferziger, J. H. & Reynolds, W. C. 1979 Evaluation of subgrid-scale models using an accurately simulated turbulent flow. J. Fluid Mech. 91, 116.Google Scholar
Deardorff, J. W. 1970 A numerical study of three-dimensional turbulent channel flow at large Reynolds numbers. J. Fluid Mech. 41, 453480.Google Scholar
Vachat, R Du. 1977 Realizability inequalities in turbulent flows. Phys. Fluids 20, 551556.Google Scholar
Erlebacher, G., Hussaini, M. Y., Speziale, C. G. & Zang, T. A. 1987 Toward the large-eddy simulations of compressible turbulent flows. ICASE Rep. 87–20.
Erlebacher, G., Hussaini, M. Y., Speziale, C. G. & Zang, T. A. 1992 Toward the large-eddy simulations of compressible turbulent flows. J. Fluid Mech. 238, 155185.Google Scholar
Germano, M. 1992 Turbulence: the filtering approach. J. Fluid Mech. 238, 325336.Google Scholar
Horiuti, K. 1985 Large eddy simulation of turbulent channel flow by one-equation modeling. J. Phys. Soc. Japan 54, 28552865.Google Scholar
Leith, C. E. 1990 Stochastic backscatter in a subgrid-scale model: plane shear mixing layer. Phys. Fluids A 2, 297299.Google Scholar
Lilly, D. K. 1967 The representation of small-scale turbulence in numerical simulation experiments. Proc. IBM scientific Computing Symp. on Environmental Sciences, IBM Form 320–1951, pp. 195210.
Moin, P. & Jimenez, J. 1993 Large eddy simulation of complex turbulent flows. AIAA 24th Fluid Dynamics Conf. Orlando.
Monin, A. S. & Yaglom, A. M. 1971 Statistical Mechanics. The MIT Press.
Normand, X. & Lesieur, M. 1992 Numerical experiments on transition in the compressible boundary layer. Theor. Comput. Fluid Dyn. 3, 231252.Google Scholar
Ortega, J. M. 1987 Matrix Theory. Plenum.
Piomelli, U., Cabot, W. H., Moin, P. & Lee, S. 1990 Subgrid-scale backscatter in transitional and turbulent flows. Proc. CTR Summer Program 1990, pp. 1930.
Rogallo, R. S. & Moin, P. 1984 Numerical simulation of turbulent flows. Ann. Rev. Fluid Mech. 16, 99137.Google Scholar
Rudin, W. 1973 Functional analysis. McGraw-Hill.
Sandham, N. D. & Reynolds, W. C. 1991 Three-dimensional simulations of large eddies in the compressible mixing layer. J. Fluid Mech. 224, 133158.Google Scholar
Schumann, U. 1975 Subgrid scale model for finite difference simulations of turbulent flows in plane channels and annuli. J. Comput. Phys. 18, 376404.Google Scholar
Schumann, U. 1977 Realizability of Reynolds-stress turbulence models. Phys. Fluids 20, 721725.Google Scholar
Smagorinsky, J. 1963 General circulation experiments with the primitive equations. Mon. Weath. Rev. 91, 99164.Google Scholar
Speziale, C. G. 1985 Galilean invariance of subgrid-scale stress models in the large eddy simulation of turbulence. J. Fluid Mech. 156, 5562.Google Scholar
Speziale, C. G., Erlebacher, G., Zang, T. A. & Hussaini, M. Y. 1988 The subgrid-scale modeling of compressible turbulence. Phys. Fluids 31, 940942.Google Scholar
Tennekes, H. & Lumley, J. L. 1972 A First Course in Turbulence. The MIT Press.
Vreman, B., Geurts, B. & Kuerten, H. 1993 A priori tests of large eddy simulation of the compressible plane mixing layer. Memo. 1152. University of Twente, The Netherlands.
Yoshizawa, A. 1986 Statistical theory for compressible turbulent shear flows, with the application to subgrid modeling. Phys. Fluids 29, 21522164.Google Scholar
Zang, T. A., Dahlburg, R. B. & Dahlburg, J. P. 1992 Direct and large-eddy simulations of three-dimensional compressible Navier-Stokes turbulence. Phys. Fluids A 4, 127140.Google Scholar