Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-29T14:24:15.192Z Has data issue: false hasContentIssue false

Spectral energy transfer in high Reynolds number turbulence

Published online by Cambridge University Press:  11 April 2006

K. N. Helland
Affiliation:
Department of Applied Mechanics and Engineering Sciences University of California, La Jolla
C. W. Van Atta
Affiliation:
Department of Applied Mechanics and Engineering Sciences University of California, La Jolla
G. R. Stegen
Affiliation:
Department of Civil Engineering, Colorado State University, Fort Collins
Present address: Science Applications, Inc., 8400 W. Park Dr., McLean, Washington.

Abstract

The spectral energy transfer of turbulent velocity fields has been examined over a wide range of Reynolds numbers by experimental and empirical methods. Measurements in a high Reynolds number grid flow were used to calculate the energy transfer by the direct Fourier-transform method of Yeh & Van Atta. Measurements in a free jet were used to calculate energy transfer for a still higher Reynolds number. An empirical energy spectrum was used in conjunction with a local self-preservation approximation to estimate the energy transfer at Reynolds numbers beyond presently achievable experimental conditions.

Second-order spectra of the grid measurements are in excellent agreement with local isotropy down to low wavenumbers. For the first time, one-dimensional third-order spectra were used to test for local isotropy, and modest agreement with the theoretical conditions was observed over the range of wavenumbers which appear isotropic according to second-order criteria. Three-dimensional forms of the measured spectra were calculated, and the directly measured energy transfer was compared with the indirectly measured transfer using a local self-preservation model for energy decay. The good agreement between the direct and indirect measurements of energy transfer provides additional support for both the assumption of local isotropy and the assumption of self-preservation in high Reynolds number grid turbulence.

An empirical spectrum was constructed from analytical spectral forms of von Kármán and Pao and used to extrapolate energy transfer measurements at lower Reynolds number to Rλ = 105 with the assumption of local self preservation. The transfer spectrum at this Reynolds number has no wavenumber region of zero net spectral transfer despite three decades of $k^{-\frac{5}{3}}$. behaviour in the empirical energy spectrum. A criterion for the inertial subrange suggested by Lumley applied to the empirical transfer spectrum is in good agreement with the $k^{-\frac{5}{3}}$ range of the empirical energy spectrum.

Type
Research Article
Copyright
© 1977 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. 1953 The Theory of Homogeneous Turbulence. Cambridge University Press.
Bradshaw, P. 1967 Conditions for the existence of an inertial subrange in turbulent flow. Nat. Phys. Lab. Aero. Rep. no. 1220.Google Scholar
Corrsin, S. 1964 Further generalizations of Onsager's cascade model for turbulent spectra. Phys. Fluids, 7, 1156.Google Scholar
Corrsin, S. & Uberoi, M. S. 1951 Spectra and diffusion in a round turbulent jet. N.A.C.A. Tech. Note, no. 1040.Google Scholar
Favre, A., Gaviglio, J. & Dumas, R. 1955 Some measurements of time and space correlation in wind tunnel. N.A.C.A. Tech. Memo. no. 1370.Google Scholar
Gibson, M. M. 1963 Spectra of turbulence in a round jet. J. Fluid Mech. 15, 161.Google Scholar
Helland, K. N. 1974 Energy transfer in high Reynolds number turbulence. Ph.D. thesis, University of California, San Diego.
Hinze, J. O. 1959 Turbulence. McGraw-Hill.
Kármán, T. von 1948 Progress in the statistical theory of turbulence. J. Mar. Res. 7, 252.Google Scholar
Kistler, A. L. & Vrebalovich, T. 1966 Grid turbulence at large Reynolds numbers. J. Fluid Mech. 26, 37.Google Scholar
Lumley, J. L. 1964 The spectrum of nearly inertial turbulence in a stably stratified fluid. Phys. Fluids, 21, 99.Google Scholar
McConnell, S. O. 1976 The fine structure of velocity and temperature measured in the laboratory and the atmospheric marine boundary layer. Ph.D. thesis, University of California, San Diego.
Onsager, L. 1949 Statistical hydrodynamics. Nuovo Cimento. Suppl. 6, 279.Google Scholar
Pao, Y. H. 1965 Structure of turbulent velocity and scalar fields at large wavenumbers. Phys. Fluids, 8, 1063.Google Scholar
Pierce, R. E. 1972 Statistical analysis of turbulence using a large scale digital computing system. Ph.D. thesis, The Pennsylvania State University.
Schedvin, J., Stegen, G. R. & Gibson, C. H. 1974 Universal similarity at high grid Reynolds numbers. J. Fluid Mech. 65, 561.Google Scholar
Stegen, G. R. & Van Atta, C. W. 1970 Phase speed measurements in grid turbulence. J. Fluid Mech. 42, 689.Google Scholar
Uberoi, M. S. 1963 Energy transfer in isotropic turbulence. Phys. Fluids, 6, 1048.Google Scholar
Van Atta, C. W. & Chen, W. Y. 1969 Measurements of spectral energy transfer in grid turbulence. J. Fluid Mech. 38, 743.Google Scholar
Yeh, T. T. & Van Atta, C. W. 1973 Spectral transfer of scalar and velocity fields in heated-grid turbulence. J. Fluid Mech. 58, 233.Google Scholar