Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-19T06:03:09.626Z Has data issue: false hasContentIssue false

Velocity-derivative skewness and two-time velocity correlations of isotropic turbulence as predicted by the LET theory

Published online by Cambridge University Press:  26 April 2006

W. D. Mccomb
Affiliation:
Department of Physics, Edinburgh University, The King's Buildings, Mayfield Road, Edinburgh EH9 3JZ, UK
V. Shanmugasundaram
Affiliation:
Department of Physics, Edinburgh University, The King's Buildings, Mayfield Road, Edinburgh EH9 3JZ, UK
P. Hutchinson
Affiliation:
Engineering Sciences Division, Harwell Laboratory, Oxfordshire OX11 ORA, UK Present address: School of Mechanical Engineering, Cranfield Institute of Technology, Cranfield, Bedford MK43 OAL, UK.

Abstract

The local-energy-transfer (LET) theory was used to calculate freely decaying turbulence for arbitrary initial conditions over a range of microscale-based Reynolds numbers 0.5 [les ] Rλ(tf) [les ] 1009, where tf is the final time of computation. The predicted skewness factor S(Rλ) agreed closely with the results of numerical simulations at low-to-moderate Reynolds numbers and followed the same general trend at larger values of Rλ. It was also found that, for Rλ(tf) [les ] 5, the LET calculation was almost indistinguishable from that of the direct-interaction approximation (DIA), with the difference between the two theories tending to zero as Rλ(tf)∞ 0.

Two-time correlation and propagator (or response) functions were also obtained. Tests of their scaling behaviour suggest that, contrary to general belief, the convective sweeping of the energy-containing range is much less important than the Kolmogorov timescale in determining inertial-range behaviour. This result raises questions about the accepted explanation for the failure of the direct-interaction approximation, thus motivating a discussion about the relevance of random Galilean invariance (RGI). It is argued that, for a properly constructed ensemble of transformations to inertial frames, invariance in every realization necessarily implies RGI. It is suggested that the defects of the direct-interaction approximation can be understood in terms of a failure to renormalize the stirring forces.

Type
Research Article
Copyright
© 1989 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

Batchelor, G. K. 1971 The Theory of Homogeneous Turbulence (2nd edn). Cambridge University Press.
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, 1.Google Scholar
Comte-Bellot, G. & Corrsin, S. 1971 Simple Eulerian time correlation of full- and narrow-band velocity signals in grid generated ‘isotropic’ turbulence. J. Fluid Mech. 48, 273.Google Scholar
Edwards, S. F. 1964 The statistical dynamics of homogeneous turbulence. J. Fluid Mech. 18, 239.Google Scholar
Edwards, S. F. 1965 Turbulence in hydrodynamics and plasma physics. Intl Conf. Plasma Phys., Trieste, p. 595. IAEA, Vienna.
Forster, D., Nelson, D. R. & Stephen, M. J. 1977 Long-distance and long-time properties of a randomly stirred fluid. Phys. Rev. A16, 732.Google Scholar
Herring, J. R. & Kerr, R. M. 1982 Comparison of direct numerical simulations with predictions of two-point closures for isotropic turbulence convecting a passive scalar. J. Fluid Mech. 118, 205.Google Scholar
Herring, J. R. & Kraichnan, R. H. 1979 A numerical comparison of velocity-based and strain-based Lagrangian-history turbulence approximations. J. Fluid Mech. 91, 581.Google Scholar
Kerr, R. M. 1985 Higher-order derivative correlations and the alignment of small-scale structures in isotropic numerical turbulence. J. Fluid Mech. 153, 31.Google Scholar
Kraichnan, R. H. 1959 The structure of isotropic turbulence at very high Reynolds numbers. J. Fluid Mech. 5, 497.Google Scholar
Kraichnan, R. H. 1964 Kolmogorov's hypotheses and Eulerian turbulence theory. Phys. Fluids 7, 1723.Google Scholar
Kraichnan, R. H. 1965 Lagrangian-history closure approximation for turbulence. Phys. Fluids 8, 575.Google Scholar
Kraichnan, R. H. 1976 Eddy viscosity in two- and three-dimensions. J. Atmos. Sci. 33, 1521.Google Scholar
Kraichnan, R. H. & Herring, J. R. 1978 A strain-based Lagrangian-History turbulence theory. J. Fluid Mech. 88, 355.Google Scholar
Leslie, D. C. 1973 Developments in the Theory of Turbulence. Oxford University Press.
McComb, W. D. 1974 A local energy-transfer theory of isotropic turbulence. J. Phys. A: Math. Nucl. Gen. 7, 632.Google Scholar
McComb, W. D. 1976 The inertial-range spectrum from a local energy-transfer theory of isotropic turbulence. J. Phys. A: Math. Gen. 9, 179.Google Scholar
McComb, W. D. 1978 A theory of time-dependent, isotropic turbulence. J. Phys. A: Math. Gen. 11, 613.Google Scholar
McComb, W. D. & Shanmugasundaram, V. 1984 Numerical calculation of decaying isotropic turbulence using the LET theory. J. Fluid Mech. 143, 95 (referred to as I).Google Scholar
Orszag, S. A. 1970 Analytical theories of turbulence. J. Fluid Mech. 41, 363.Google Scholar
Orszag, S. A. & Patterson, G. S. 1972 Numerical simulation of three-dimensional homogeneous isotropic turbulence. Phys. Rev. Lett. 28, 76.Google Scholar
Siggia, E. D. & Patterson, G. S. 1978 Intermittency effects in a numerical simulation of stationary three-dimensional turbulence. J. Fluid Mech. 86, 567.Google Scholar
Tavoularis, S., Bennett, J. C. & Corrsin, S. 1978 Velocity-derivative skewness in small Reynolds number, nearly isotropic turbulence. J. Fluid Mech. 88, 63.Google Scholar