Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-19T13:01:48.668Z Has data issue: false hasContentIssue false

On scaling the mean momentum balance and its solutions in turbulent Couette–Poiseuille flow

Published online by Cambridge University Press:  05 February 2007

TIE WEI
Affiliation:
Department of Mechanical and Nuclear Engineering, Penn State University, State College, PA 16802, USA
PAUL FIFE
Affiliation:
Department of Mathematics, University of Utah, Salt Lake City, UT 84112, USA
JOSEPH KLEWICKI
Affiliation:
Department of Mechanical Engineering, University of New Hampshire, Durham, NH 03824, USA

Abstract

The statistical properties of fully developed planar turbulent Couette–Poiseuille flow result from the simultaneous imposition of a mean wall shear force together with a mean pressure force. Despite the fact that pure Poiseuille flow and pure Couette flow are the two extremes of Couette–Poiseuille flow, the statistical properties of the latter have proved resistant to scaling approaches that coherently extend traditional wall flow theory. For this reason, Couette–Poiseuille flow constitutes an interesting test case by which to explore the efficacy of alternative theoretical approaches, along with their physical/mathematical ramifications. Within this context, the present effort extends the recently developed scaling framework of Wei et al. (2005a) and associated multiscaling ideas of Fife et al. (2005a, b) to fully developed planar turbulent Couette–Poiseuille flow. Like Poiseuille flow, and contrary to the structure hypothesized by the traditional inner/outer/overlap-based framework, with increasing distance from the wall, the present flow is shown in some cases to undergo a balance breaking and balance exchange process as the mean dynamics transition from a layer characterized by a balance between the Reynolds stress gradient and viscous stress gradient, to a layer characterized by a balance between the Reynolds stress gradient (more precisely, the sum of Reynolds and viscous stress gradients) and mean pressure gradient. Multiscale analyses of the mean momentum equation are used to predict (in order of magnitude) the wall-normal positions of the maxima of the Reynolds shear stress, as well as to provide an explicit mesoscaling for the profiles near those positions. The analysis reveals a close relationship between the mean flow structure of Couette–Poiseuille flow and two internal scale hierarchies admitted by the mean flow equations. The averaged profiles of interest have, at essentially each point in the channel, a characteristic length that increases as a well-defined ‘outer region’ is approached from either the bottom or the top of the channel. The continuous deformation of this scaling structure as the relevant parameter varies from the Poiseuille case to the Couette case is studied and clarified.

Type
Papers
Copyright
Copyright © Cambridge University Press 2007

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

REFERENCES

Afzal, N. 1982 Fully developed turbulent flow in a pipe: An intermediate layer. Ingenieur-Archiv 52, 355377.CrossRefGoogle Scholar
Antonia, R. A., Teitel, M., Kim, J. & Browne, L. W. B. 1992 Low Reynolds number effects in a fully developed turbulent channel flow. J. Fluid Mech. 236, 579605.CrossRefGoogle Scholar
Cenedese, A., Romano, G. P. & Antonia, R. A. 1998 A comment on the linear law of the wall for fully developed turbulent channel flow. Exps. Fluids 25, 165170.CrossRefGoogle Scholar
El Telbany, M. M. M. & Reynolds, A. J. 1980 Velocity distributions in plane turbulent channel flows. J. Fluid Mech. 100, 129.CrossRefGoogle Scholar
El Telbany, M. M. M. & Reynolds, A. J. 1981 Turbulence in plane channel flows. J. Fluid Mech. 111, 283318.CrossRefGoogle Scholar
Fife, P., Klewicki, J., McMurtry, P. & Wei, T. 2005a Multiscaling in the presence of indeterminacy: Wall-induced turbulence. Multiscale Model. Simul. 4, 936959.CrossRefGoogle Scholar
Fife, P., Wei, T., Klewicki, J. & McMurtry, P. 2005b Stress gradient balance layers and scale hierarchies in wall-bounded turbulent flows. J. Fluid Mech. 532, 165189.CrossRefGoogle Scholar
Iwamoto, K., Suzuki, Y. & Kasagi, N. 2002 Reynolds number effect on wall turbulence: Toward effective feedback control. Intl J. Heat Fluid Flow 23, 678689.CrossRefGoogle Scholar
Izakson, A. 1937 On the formula for the velocity distribution near walls. Tech. Phys. USSR IV, 2, 155162.Google Scholar
Klewicki, J., McMurtry, P., Fife, P. & Wei, T. 2004 A physical model of the turbulent boundary layer consonant with the structure of the mean momentum balance. In 15th Australasian Fluid Mech. Conf. The University of Sydney, Sydney, Australia.Google Scholar
Kuroda, A., Kasagi, N. & Hirata, M. 1994 Direct numerical simulation of turbulent plane Couette–Poiseuille flows: Effect of mean shear on the near-wall turbulence structures. In Turbulent Shear Flows 9 (ed. Durst, F. et al. ). Springer.Google Scholar
Libby, P. A. 1996 Introduction to Turbulence, 1st edn. Taylor and Francis.Google Scholar
Millikan, C. B. 1939 A critical discussion of turbulent flows in channel and circular tubes. In Proc. 5th Int. Congr. Applied Mechanics (ed. Den Hartog, J. P. & Peters, H.). Wiley.Google Scholar
Moser, R. D., Kim, J. & Mansour, N. N. 1999 Direct numerical simulation of turbulent channel flow up to Re τ = 590. Phys. Fluids 11, 943945.CrossRefGoogle Scholar
Nakabayashi, K., Kitoh, O. & Katoh, Y. 2004 Similarity laws of velocity profiles and turbulence characteristics of Couette–Poiseuille turbulent flows. J. Fluid Mech. 507, 4369.CrossRefGoogle Scholar
Panton, R. L. 1984 Incompressible Flow, 1st edn. Wiley.Google Scholar
Panton, R. L. 1997 A Reynolds stress function for wall layers. Trans. ASME: J. Fluids Engng 119, 325330.Google Scholar
Schlichting, H. & Gersten, K. 2000 Boundary Layer Theory, 8th edn. Springer.CrossRefGoogle Scholar
Shingai, K., Kawamura, H. & Matsuo, Y. 2000 DNS of turbulent Couette flow and its comparison with turbulent Poiseuille flow. In Advances in Turbulence 8: Proc. 8th European Turbulence Conference, p. 972. Aichi Shuppan, Japan.Google Scholar
Sreenivasan, K. R. 1989 The turbulent boundary layer. In Frontiers in Experimental Fluid Mechanics (ed. Gad, el Hak, ), pp. 159209. Springer.CrossRefGoogle Scholar
Tennekes, H. & Lumley, J. L. 1972 A First Course in Turbulence. MIT Press.CrossRefGoogle Scholar
Thurlow, E. M. & Klewicki, J. 2000 Experimental study of turbulent Poiseuille–Couette flow. Phys. Fluids 12, 865875.CrossRefGoogle Scholar
Wei, T., Fife, P., Klewicki, J. & McMurtry, P. 2005a Properties of the mean momentum balance in turbulent boundary layer, pipe and channel flows. J. Fluid Mech. 522, 303327.CrossRefGoogle Scholar
Wei, T., McMurtry, P., Klewicki, J. & Fife, P. 2005b Mesoscaling of Reynolds shear stress in turbulent channel and pipe flows. AIAA J. 43, 23502353.CrossRefGoogle Scholar