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Theory of pressure-strain-rate correlation for Reynolds-stress turbulence closures. Part 1. Off-diagonal element

Published online by Cambridge University Press:  20 April 2006

J. Weinstock
Affiliation:
National Oceanic and Atmospheric Administration, Aeronomy Laboratory, Boulder, CO 80303

Abstract

A theoretical calculation is made of (an off-diagonal element of) the pressure–strain-rate term ρ−10p[∇u + (∇u)T]〉 for a simple turbulent shear flow at high Reynolds number. This calculation is described as follows. (1) An expression for the pressure–strain-rate term is analytically derived in terms of measurable quantities (velocity spectra) - this derivation makes use of a cumulant discard. (2) It is proved that, to the lowest order in the spectral anisotropy, the (nonlinear part of) the pressure-strain-rate term is linearly proportional to the Reynolds stress. (3) A formula is derived for the constant of this proportionality (the Rotta constant) in terms of arbitrary velocity spectra. (4) This formula is used to analytically calculate Rotta's constant, Cxz, for a class of models of velocity spectra (the variation of Rotta's constant caused by variations in the spectral shapes is examined). (5) It is found that Cxz is surprisingly insensitive to the large-wavelength part of the spectrum. This insensitivity suggests that Cxz should not vary much from one turbulence application to another provided that the Reynolds number is very large. However, it is also shown that Cxz is unexpectedly sensitive to the short-wavelength part of the spectrum, and varies with Reynolds number when the latter is less than about 30.

The calculation is based on a straightforward solution of the Navier–Stokes equation to obtain formal expressions for u and p. These expressions are then used to write the pressure–strain-rate in terms of a two-time fourth-order velocity correlation. The latter correlation is evaluated by a standard cumulant discard. Simplifying assumptions of the calculation are that average quantities vary little in space and time, and that the mean flow are unidirectional. These simplifications are made in order to emphasize the method of calculation and its details.

Type
Research Article
Copyright
© 1981 Cambridge University Press

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References

Batchelor, G. K. 1959 Homogeneous Turbulence. Cambridge University Press.
Champagne, F. H., Harris, V. G. & Corrsin, S. 1970 Experiments on nearly homogeneous turbulent shear flow. J. Fluid Mech. 41, 81.Google Scholar
Chou, P. Y. 1945 On velocity correlations and the solutions of the equations of turbulent fluctuation. Quart. Appl. Math. 3, 38.Google Scholar
Comte-Bellot, G. & Corrsin, S. 1966 The use of a contraction to improve the isotropy of grid generated turbulence. J. Fluid Mech. 25, 657682.Google Scholar
Edwards, S. F. 1964 The theoretical dynamics of homogeneous turbulence. J. Fluid Mech. 18, 239.Google Scholar
Hanjalic, K. & Launder, B. E. 1972 A Reynolds stress model of turbulence and its application to thin shear flows. J. Fluid Mech. 52, 609638.Google Scholar
Harris, V. G., Graham, J. A. H. & Corrsin, S. 1977 Further experiments in nearly homogeneous turbulent shear flow. J. Fluid Mech. 81, 657687.Google Scholar
Herring, J. R. 1965 Self-consistent field approach to turbulence theory. Phys. Fluids 8, 22192225.Google Scholar
Herring, J. R. 1973 Statistical turbulence theory and turbulence phenomenology. Proc. NASA-Langley Conf. for Turbulent Shear Flow.Google Scholar
Herring, J. R. 1974 Approach of axisymmetric turbulence to isotropy. Phys. Fluids 17, 859872.Google Scholar
Kaimal, J. C., Wyngaard, J. C., Izumi, Y. & Cote, O. R. 1972 Spectral characteristics of surface-layer turbulence. Quart. J. Roy. Met. Soc. 98, 563589.Google Scholar
Kraichnan, R. 1959 The structure of isotropic turbulence at high Reynolds numbers. J. Fluid Mech. 5, 497543.Google Scholar
Kraichnan, R. 1966 Isotropic turbulence and inertial-range structure. Phys. Fluids 9, 17281752.Google Scholar
Launder, B. E., Reece, G. J. & Rodi, W. 1975 Progress in the development of a Reynolds-stress turbulence closure. J. Fluid Mech. 68, 537566.Google Scholar
Leslie, D. C. 1970 Simplification of the direct interaction equations for turbulent shear flow. J. Phys. A 3, L16L18.Google Scholar
Leslie, D. C. 1973 Developments in the Theory of Turbulence. Clarendon.
Lumley, J. L. & Khajek-Nouri, B. 1974 Computational modeling of turbulent transport. Adv. Geophys. A 18, 169192.Google Scholar
Lumley, J. L. & Newman, G. R. 1977 The return to isotropy of homogeneous turbulence. J. Fluid Mech. 82, 161178.Google Scholar
Orszag, S. A. 1970 Analytical theories of turbulence. J. Fluid Mech. 41, 363.Google Scholar
Panofsky, H. A. & Mares, E. 1968 Recent measurements of cospectra for heat flux and stress. Quart. J. Roy. Met. Soc. 94, 581584.Google Scholar
Proudman, I. & Reid, W. H. 1954 On the decay of a normally distributed and homogeneous turbulent field. Phil. Trans. Roy. Soc. A 247, 163.Google Scholar
Reynolds, W. C. 1976 Computation of turbulent flows. Ann. Rev. Phys. 8, 183208.Google Scholar
Riley, J. J. & Patterson, G. S. 1974 Diffusion experiments with numerically integrated isotropic turbulence. Phys. Fluids 17, 292297.Google Scholar
Rotta, J. 1951 Statistische Theorie nichthomogener Turbulenz. 1. Mitteilung. Z. Phys. 129, 547572.Google Scholar
Schumann, V. & Herring, J. R. 1976 Axisymmetric homogeneous turbulence: a comparison of direct spectral simulations with the direct-interaction approximation.
Tennekes, H. & Lumley, J. L. 1972 A First Course in Turbulence. M.I.T. Press.
Weinstock, J. 1976 Lagrangian-Eulerian relation and the independence approximation. Phys. Fluids 19, 17021711.Google Scholar
Weinstock, J. 1977 Three-point method in the theory of homogeneous turbulence. Phys. Fluids 20, 16311650.Google Scholar