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Effect of the shear parameter on velocity-gradient statistics in homogeneous turbulent shear flow

Published online by Cambridge University Press:  18 May 2011

JUAN C. ISAZA
Affiliation:
Sibley School of Mechanical and 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 and Aerospace Engineering, Cornell University, Ithaca, NY 14853-7501, USA
*
Email address for correspondence: LC246@cornell.edu

Abstract

The effect of the shear parameter on the small-scale velocity statistics in an homogeneous turbulent shear flow is investigated using direct numerical simulations (DNSs) of the incompressible Navier–Stokes equations on a 5123 grid. 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 that the tails of the probability distribution function of components of the vorticity vector and rate-of-strain tensor are progressively distorted with increasing shear parameter. Furthermore, we show that the shear parameter has a direct effect on the structure of the vorticity field, which manifests through changes in its alignment with the eigenvectors of the rate-of-strain tensor. We also find that increasing the shear parameter causes the main contribution to enstrophy production to shift from the nonlinear terms to the rapid terms (terms that are proportional to the mean shear) due to the aforementioned changes in the alignment. We attempt to explain these trends using viscous rapid distortion theory; however, while the theory does capture some effects of the shear parameter, it fails to predict the correct dependence on Reynolds number. Comparisons with recent experiments are also shown. The trends predicted by the DNS and the experiments are in good agreement. Moreover, the prefactors in the Reynolds number scaling laws for the skewness and flatness of the longitudinal velocity derivative are shown to have a statistically significant dependence on the shear parameter.

Type
Papers
Copyright
Copyright © Cambridge University Press 2011

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References

REFERENCES

Ashurst, W. T., Kerstein, A. R., Kerr, R. M. & Gibson, C. H. 1987 Alignment of vorticity and scalar gradient with strain rate in simulated Navier-Stokes turbulence. Phys. Fluids 30 (8), 23432353.Google Scholar
Ayyalasomayajula, S. & Warhaft, Z. 2006 Nonlinear interactions in axi-symmetric strained grid turbulence. J. Fluid Mech. 566, 273307.Google Scholar
Betchov, R. 1956 An inequality concerning the production of vorticty in isotropic turbulence. J. Fluid Mech. 1, 497504.Google Scholar
Brasseur, J. G. & Lin, W. 2005 Kinematics and dynamics of small-scale vorticity and strain-rate structures in the transition from isotropic to shear turbulence. Fluid Dyn. Res. 36, 357384.Google Scholar
Brasseur, J. G. & Wang, Q. 1992 Structural evolution of intermittency and anisotropy at different scales analyzed using three-dimensional wavelet transforms. Phys. Fluids A 4 (11), 25382554.Google Scholar
Brasseur, J. G. & Wei, C-H. 1994 Interscale dynamics and local isotropy in high Reynolds number turbulence. Phys. Fluids 6, 842.Google Scholar
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.Google Scholar
DeSouza, F. A., Nguyen, V. D. & Tavoularis, S. 1995 The structure of highly sheared turbulence. J. Fluid Mech. 303, 155167.Google Scholar
Diamessis, P. J. & Nomura, K. K. 2000 Interaction of vorticity, rate-of-strain, and scalar gradient in stratified homogeneous sheared turbulence. Phys. Fluids 12, 11661187.Google Scholar
Eswaran, V. & Pope, S. B. 1988 An examination of forcing in direct numerical simulations of turbulence. Comput. Fluids 16, 257278.Google Scholar
Ferchichi, M. & Tavoularis, S. 2000 Reynolds number effect on the fine structure of uniformly sheared turbulence. Phys. Fluids 12 (11), 29422953.Google Scholar
Garg, S. & Warhaft, Z. 1998 On small scale statistics in a simple shear flow. Phys. Fluids 10, 662673.Google Scholar
Gulitski, G., Kholmyansky, M., Kinzelbach, W., Luthi, B., Tsinober, A. & Yorish, S. 2007 a Velocity and temperature derivatives in high-Reynolds-number turbulent flows in the atmospheric surface layer. Part 1. Facilities, methods and some general results. J. Fluid Mech. 589, 5781.Google Scholar
Gulitski, G., Kholmyansky, M., Kinzelbach, W., Luthi, B., Tsinober, A. & Yorish, S. 2007 b Velocity and temperature derivatives in high-Reynolds-number turbulent flows in the atmospheric surface layer. Part 2. Acceleration and related matters. J. Fluid Mech. 589, 83102.Google Scholar
Gylfason, A., Ayyalasomayajula, S. & Warhaft, Z. 2004 Intermittency, pressure and acceleration statistics from hot-wire measurements in wind-tunnel turbulence. J. Fluid Mech. 501, 213229.Google Scholar
Hamlington, P. E., Schumacher, J. & Dahm, W. J. A. 2008 Direct assessment of vorticity alignment with local and nonlocal strain rates in turbulent flows. Phys. Fluids 20 (11), 111703.Google Scholar
Isaza, J. C. & Collins, L. R. 2009 On the asymptotic behaviour of large-scale turbulence in homogeneous shear flow. J. Fluid Mech. 637, 213239.Google Scholar
Isaza, J. C., Warhaft, Z. & Collins, L. R. 2009 Experimental investigation of the large-scale velocity statistics in homogeneous turbulent shear flow. Phys. Fluids 21 (6), 065105.Google Scholar
Ishihara, T., Gotoh, T. & Kaneda, Y. 2009 Study of high-Reynolds-number isotropic turbulence by direct numerical simulation. Annu. Rev. Fluid Mech. 41, 165180.Google 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
Jimenez, J. 1992 Kinematic alignment effects in turbulent flows. Phys. Fluids A 4 (4), 652654.Google Scholar
Kerr, R. M. 1987 Histograms of helicity and strain in numerical turbulence. Phys. Rev. Lett. 59, 783786.Google Scholar
Kholmyansky, M., Tsinober, A. & Yorish, S. 2001 Velocity derivatives in the atmospheric surface layer at Reλ = 104. Phys. Fluids 13 (1), 311314.Google Scholar
Kida, S. & Tanaka, M. 1992 Reynolds stress and vortical structure in a uniformly sheared turbulence. J. Phys. Soc. Japan 61 (12), 44004417.Google Scholar
Kida, S. & Tanaka, M. 1994 Dynamics of vortical structures in a homogeneous shear flow. J. Fluid Mech. 274, 4368.Google Scholar
Lee, M. J., Kim, J. & Moin, P. 1990 Structure of turbulence at high shear rate. J. Fluid Mech. 216, 561583.Google Scholar
Lund, T. S. & Rogers, M. M. 1994 An improved measure of strain state probability in turbulent flows. Phys. Fluids 6 (5), 18381847.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.), Moscow, June 1965.Google Scholar
Mullin, J. A. & Dahm, W. J. A. 2006 Dual-plane stereo particle image velocimetry measurements of velocity gradient tensor fields in turbulent shear flow. II. Experimental results. Phys. Fluids 18 (3), 035102.Google Scholar
Mydlarski, L. & Warhaft, Z. 1996 On the onset of high-Reynolds-number grid-generated wind tunnel turbulence. J. Fluid Mech. 320, 331368.Google Scholar
Nomura, K. K. & Diamessis, P. J. 2000 The interaction of vorticity and rate-of-strain in homogeneous sheared turbulence. Phys. Fluids 12, 846864.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. 1987 The structure of the vorticity field in homogeneous turbulent flows. J. Fluid Mech. 176, 3366.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.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 (Rλ) turbulent shear flow. Phys. Fluids 12, 29762989.Google Scholar
Su, L. K. & Dahm, W. J. A. 1996 Scalar imaging velocimetry measurements of the velocity gradient tensor field in turbulent flows. II. Experimental results. Phys. Fluids 8 (7), 18831906.Google Scholar
Tavoularis, S. 1985 Asymptotic laws for transversely homogeneous turbulent shear flows. Phys. Fluids 28 (3), 9991001.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
Townsend, A. A. 1970 Entrainment and the structure of turbulent flow. J. Fluid Mech. 14, 13.Google Scholar
Tsinober, A., Kit, E. & Dracos, T. 1992 Experimental investigation of the field of velocity gradients in turbulent flows. J. Fluid Mech. 242, 169192.Google Scholar
Yeung, P.-K., Brasseur, J. G. & Wang, Q 1995 Dynamics of direct large-small scale couplings in coherently forced turbulence: concurrent physical and fourier-space views. J. Fluid Mech. 283, 4395.Google Scholar
Zhou, T., Antonia, R. A. & Chua, L. P. 2005 Flow and Reynolds number dependencies of one-dimensional vorticity fluctuations. J. Turbul. 6 (28), 117.Google Scholar