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On the asymptotic behaviour of large-scale turbulence in homogeneous shear flow

Published online by Cambridge University Press:  17 September 2009

JUAN C. ISAZA
Affiliation:
Sibley School of Mechanical & Aerospace Engineering, Cornell University, Ithaca, NY 14853–7501, USA Department of Mechanical Engineering, EAFIT University, Medellin, Colombia
LANCE R. COLLINS*
Affiliation:
Sibley School of Mechanical & Aerospace Engineering, Cornell University, Ithaca, NY 14853–7501, USA
*
Email address for correspondence: lc246@cornell.edu

Abstract

The asymptotic behaviour of large-scale velocity statistics in an homogeneous turbulent shear flow is investigated using direct numerical simulations (DNS) of the incompressible Navier–Stokes equations on a 5123 grid, and with viscous rapid distortion theory (RDT). We use a novel pseudo-spectral algorithm that allows us to set the initial value of the shear parameter in the range 3–30 without the shortcomings of previous numerical approaches. We find there is an explicit dependence of the early-time behaviour on the initial value of the shear parameter. Moreover, the long-time asymptotes of large-scale quantities such as the ratio of the turbulent kinetic energy production rate over dissipation rate, the Reynolds stress anisotropic tensor and the shear parameter itself depend sensitively on the initial value of the shear parameter over the range of Reynolds number we could achieve (26 ≤ Rλ ≤ 63) with the stringent resolution requirements that were satisfied. To gain further insight into the matter, we analyse the full viscous RDT. While inviscid RDT has received a great deal of attention, viscous RDT has not been fully analysed. Our motivation for considering viscous RDT is so that the energy dissipation rate enters the problem, enabling the shear parameter to be defined. We show asymptotic expansions for the short-time behaviour and numerically evaluate the integrals to determine the long-time prediction of viscous RDT. The results are in quantitative agreement with DNS for short times; however, at long times viscous RDT predicts the turbulent energy decays to zero. Through an analysis of the pressure–strain terms, we show that the nonlinear ‘slow’ terms are essential for rearranging turbulent energy from the streamwise direction to the mean shear direction, and this sustains the indefinite growth of the kinetic energy at long times. In effect, the nonlinear pressure–strain correlation maintains the three-dimensionality of the turbulence, countering the tendency of the mean shear to project the turbulence onto the two-dimensional plane of the mean-flow streamlines. We postulate that the predictions of viscous RDT at long times could be improved by introducing a model for the ‘slow’ pressure–strain term, along the lines of the Rotta model.

Type
Papers
Copyright
Copyright © Cambridge University Press 2009

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References

REFERENCES

Brucker, K. A., Isaza, J. C., Vaithianathan, T. & Collins, L. R. 2007 Efficient algorithm for simulating homogeneous turbulent shear flow without remeshing. J. Comput. Phys. 225, 2032.CrossRefGoogle Scholar
Champagne, F. H., Harris, G. V. & Corrsin, S. 1970 Experiments on nearly homogeneous turbulent shear flow. J. Fluid Mech. 41, 81139.CrossRefGoogle Scholar
Deissler, R. G. 1961 Effects of inhomogeneity and of shear flow in weak turbulent fields. Phys. Fluids 4 (10), 11871198.Google Scholar
Deissler, R. G. 1970 Effect of initial condition on weak homogeneous turbulence with uniform shear. Phys. Fluids 13 (7), 18681869.CrossRefGoogle Scholar
DeSouza, F. A., Nguyen, V. D. & Tavoularis, S. 1995 The structure of highly sheared turbulence. J. Fluid Mech. 303, 155167.Google Scholar
Ferchichi, M. & Tavoularis, S. 2000 Reynolds number effect on the fine structure of uniformly sheared turbulence. Phys. Fluids 12 (11), 29422953.CrossRefGoogle Scholar
Fox, J. 1964 Velocity correlations in weak turbulent shear flow. Phys. Fluids 7 (4), 562564.Google Scholar
Garg, S. & Warhaft, Z. 1998 On small scale statistics in a simple shear flow. Phys. Fluids 10, 662673.Google Scholar
Harris, G. V., Graham, A. J. & Corrsin, S. 1977 Further experiments in nearly homogeneous shear flow. J. Fluid Mech. 81, 657687.CrossRefGoogle Scholar
Hunt, J. C. R. & Carruthers, D. J. 1990 Rapid distortion theory and the problems of turbulence. J. Fluid Mech. 212, 497532.Google Scholar
Isaza, J. C., Warhatt, W. & Collins, L. R. 2009 Experimental investigation of the large-scale velocity statistics in homogeneous turbulent shear flow. Phys. Fluids, in press.CrossRefGoogle Scholar
Jacobitz, F. G. & Sarkar, S. 1999 On the shear number effect in stratified shear flow. Theor. Comput. Fluid Dyn. 13 (3), 171188.CrossRefGoogle Scholar
Jacobitz, F. G., Sarkar, S. & van Atta, C. W. 1997 Direct numerical simulations of the turbulence evolution in a uniformly sheared and stably stratified flow. J. Fluid Mech. 342, 231261.Google Scholar
Lee, W. G. & Chung, M. K. 1995 The equilibrium states and the stability analysis of Reynolds stress equations for homogeneous turbulent shear flows. Phys. Fluids 7 (11), 28072819.Google Scholar
Lee, M. J., Kim, J. & Moin, P. 1990 Structure of turbulence at high shear rate. J. Fluid Mech. 216, 561583.Google Scholar
Lumley, J. L. 1964 Spectral energy budget in wall turbulence. Phys. Fluids 7 (2), 190196.Google Scholar
Lumley, J. L. & Panofsky, H. A. 1964 The Structure of Atmospheric Turbulence. Interscience Publishers.Google Scholar
Maxey, M. R. 1982 Distortion of turbulence in flows with parallel streamlines. J. Fluid Mech. 124, 261282.Google Scholar
Moffat, H. K. 1967 The interaction of turbulence with strong wind shear. In Proceedings of the International Colloquium on Atmospheric Turbulence and Radio Wave Propagation (ed. Yaglom, A. M. & Tatarsky, V. I.), Nauka, Moscow, pp. 139156.Google Scholar
Mydlarski, L. & Warhaft, Z. 1996 On the onset of high-Reynolds-number grid-generated wind tunnel turbulence. J. Fluid Mech. 320, 331368.CrossRefGoogle Scholar
Pope, S. B. 2000 Turbulent Flows. Cambridge University Press.Google Scholar
Press, W. H., Teukolsky, S. A., Vetterling, W. T. & Flannery, B. P. 1999 Numerical Recipies in Fortran. Cambridge University Press.Google Scholar
Rogallo, R. S. 1981 Numerical experiments in homogeneous turbulence. Tech. Rep. 81315. NASA.Google Scholar
Rogers, M. M. 1991 The structure of passive scalar field with uniform mean gradient in rapidly sheared homogeneous turbulent flow. Phys. Fluids A 3 (1), 144154.Google Scholar
Rogers, M. M., Moin, P. & Reynolds, W. C. 1986 The structure and modelling of the hydrodynamics and passive scalar fields in homogeneous turbulent shear flow. Tech. Rep. TF-25. NASA Ames Centre for Turbulence Research.Google Scholar
Rohr, J. J., Itsweire, E. C., Helland, K. N. & van Atta, C. W. 1988 An investigation of the growth of turbulence in a uniform-mean-shear flow. J. Fluid Mech. 187, 133.CrossRefGoogle Scholar
Rose, W. G. 1966 Results of an attempt to generate a homogeneous turbulent shear flow. J. Fluid Mech. 25, 97120.CrossRefGoogle Scholar
Rose, W. G. 1970 Interaction of grid turbulence with a uniform mean shear. J. Fluid Mech. 44, 767779.Google Scholar
Rotta, J. 1951 Statistische theorie nichthomogener turbulenz 1. Z. Phys. 129, 547572.Google Scholar
Savill, A. M. 1987 Recent developments in rapid-distortion theory. Annu. Rev. Fluid Mech. 19, 531573.CrossRefGoogle Scholar
Schumacher, J. 2004 Relation between shear parameter and Reynolds number in statistically stationary turbulent shear flows. Phys. Fluids 16, 30943102.Google Scholar
Schumacher, J., Sreenivasan, K. R. & Yeung, P.-K. 2003 Derivative moments in turbulent shear flow. Phys. Fluids 15, 8490.Google Scholar
Shen, X. & Warhaft, Z. 2000 The anisotropy of small scale structure in high Reynolds number (R λ) turbulent shear flow. Phys. Fluids 12, 2942.CrossRefGoogle Scholar
Shih, L. H., Koseff, J. R., Ferziger, J. H. & Rehmann, C. R. (2000). Scaling and parameterization of stratified homogeneous turbulent shear flow. J. Fluid Mech. 412, 120.Google Scholar
Tavoularis, S. 1985 Asymptotic laws for transversely homogeneous turbulent shear flows. Phys. Fluids 28 (3), 9991001.Google Scholar
Tavoularis, S., Bennett, J. C. & Corrsin, S. 1978 Velocity-derivative skewness in small Reynolds number, nearly isotropic turbulence. J. Fluid Mech. 88, 6369.Google Scholar
Tavoularis, S. & Corrsin, S. 1981 Experiments in nearly homogeneous turbulent shear flow with a uniform mean temperature gradient. Part 1. J. Fluid Mech. 104, 311347.Google Scholar
Tavoularis, S. & Karnik, U. 1989 Further experiments on the evolution of turbulent stresses and scales in uniformly sheared turbulence. J. Fluid Mech. 204, 457478.Google Scholar
Thacker, W. D., Grosh, C. E. & Gatski, T. B. 1999 Modelling the dynamics of ensemble-averaged linear disturbances in homogeneous shear flow. Flow Turbul. Combust. 63, 3958.Google Scholar
Townsend, A. A. 1970 Entrainment and the structure of turbulent flow. J. Fluid Mech. 14, 13.Google Scholar
Townsend, A. A. 1976 The Structure of Turbulent Shear Flow. Cambridge University Press.Google Scholar
Yu, D. & Girimaji, S. S. 2005 DNS of homogeneous shear turbulence revisited with the lattice Boltzmann method. J. Turbul. 6, 117.CrossRefGoogle Scholar