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Velocity and temperature derivatives in high- Reynolds-number turbulent flows in the atmospheric surface layer. Part 3. Temperature and joint statistics of temperature and velocity derivatives

Published online by Cambridge University Press:  08 October 2007

G. GULITSKI
Affiliation:
Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel
M. KHOLMYANSKY
Affiliation:
Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel
W. KINZELBACH
Affiliation:
Institute of Environmental Engineering, ETH Zürich, CH-8093 Zürich, Switzerland
B. LÜTHI
Affiliation:
Institute of Environmental Engineering, ETH Zürich, CH-8093 Zürich, Switzerland
A. TSINOBER
Affiliation:
Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel
S. YORISH
Affiliation:
Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel

Abstract

This is part 3 of our work describing experiments in which explicit information was obtained on all the derivatives, i.e. spatial derivatives, ∂/∂xj, and temporal derivatives, ∂/∂t, of velocity and temperature fields (and all the components of velocity fluctuations and temperature) at the Reynolds number Reλ~104.

This part is devoted to the issues concerning temperature with the emphasis on joint statistics of temperature and velocity derivatives, based on preliminary results from a jet facility and the main results from a field experiment. Apart from a number of conventional results, these contain a variety of results concerning production of temperature gradients, such as role of vorticity and strain, eigen-contributions, geometrical statistics such as alignments of the temperature gradient and the eigenframe of the rate-of-strain tensor, tilting of the temperature gradient, comparison of the true production of the temperature gradient with its surrogate. Among the specific results of importance is the essential difference in the behaviour of the production of temperature gradients in regions dominated by vorticity and strain. Namely, the production of temperature gradients is much more intensive in regions dominated by strain, whereas production of temperature gradients is practically independent of the magnitude of vorticity. In contrast, vorticity and strain are contributing equally to the tilting of the vector of temperature gradients.

The production of temperature gradients is mainly due to the fluctuative strain, the terms associated with mean fields are unimportant. It was checked directly (by looking at corresponding eigen-contributions and alignments), that the production of the temperature gradients is due to predominant compressing of fluid elements rather than stretching, which is true of other processes in turbulent flows, e.g. turbulent energy production in shear flows. Though the production of the temperature gradient and its surrogate possess similar univariate PDFs (which indicates the tendency to isotropy in small scales by this particular criterion), their joint PDF is not close to a bisector. This means that the true production of the temperature gradient is far from being fully represented by its surrogate. The main technical achievement is demonstrating the possibility of obtaining experimentally joint statistics of velocity and temperature gradients.

Type
Papers
Copyright
Copyright © Cambridge University Press 2007

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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, 23432353.CrossRefGoogle Scholar
Batchelor, G. K. & Townsend, A. A. 1956 Turbulent diffusion. In Surveys in Mechanics (ed. Batchelor, G. K. & Davies, R. M.), pp. 352399. Cambridge University Press.Google Scholar
Brethouwer, G., Hunt, J. C. R. & Nieuwstadt, F. T. M. 2003 Micro-structure and Lagrangian statistics of the scalar field with a mean gradient in isotropic turbulence. J. Fluid Mech. 474, 193225.CrossRefGoogle Scholar
Corrsin, S. 1953 Remarks on turbulent heat transfer. An account of some features of the phenomenon in fully turbulent region. In Proceedings of the First Iowa Symposium on Thermodynamics, pp. 5–30. State University of Iowa, Iowa City.Google Scholar
Dimotakis, P. E. 2001 Recent developments in turbulent mixing. In Mechanics for New Millenium (ed. Aref, H. & Phillips, J. W.), pp. 327344. Kluwer.CrossRefGoogle Scholar
Falkovich, G., Gawedzki, K. & Vergassola, M. 2001 Particles and fields in fluid turbulence. Rev. Mod. Phys. 73, 913975.CrossRefGoogle Scholar
Flohr, P. 1999 Small-scale flow structure in turbulence: fundamentals and numerical models. PhD thesis, Wolfson College, University of Cambridge.Google Scholar
Galanti, B., Gulitsky, G., Kholmyansky, M., Tsinober, A. & Yorish, S. 2003 Velocity derivatives in turbulent flow in an atmospheric boundary layer without Taylor hypothesis. In Turbulence and Shear Flow Phenomena (ed. Kasagi, N., Eaton, J. K., Friedrich, R., Humphrey, J. A. C., Leschziner, M. A. & Miyauchi, T.), vol. 2, pp. 745–750.Google Scholar
Gibson, C. H., Ashurst, W. T., Kerstein, A. R. 1988 Mixing of strongly diffusive passive scalars like temperature by turbulence. J. Fluid Mech. 194, 261293.CrossRefGoogle Scholar
Girimaji, S. S. & Pope, S. B. 1990 Material-element deformation in isotropic turbulence. J. Fluid Mech. 220, 427458.CrossRefGoogle Scholar
Gonzalez, M. 2002 Effect of vorticity on second- and third-order statistics of passive scalar gradients. Phys. Rev. E 65, 056307/1–8.Google ScholarPubMed
Gonzalez, M. & Paranthoën, P. 2004 On the role of vorticity in the microstructure of a passive scalar field. Phys. Fluids 16, 219221.CrossRefGoogle Scholar
Guala, M., Lüthi, B., Liberson, A., Tsinober, A. & Kinzelbach, W. 2005 On the evolution of material lines and vorticity in homogeneous turbulence. J. Fluid Mech. 533, 339359.CrossRefGoogle Scholar
Gulitski, G., Kholmyansky, M., Kinzelbach, W., Lüthi, B., Tsinober, A. & Yorish, S. 2007 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.CrossRefGoogle Scholar
Kholmyansky, M. & Tsinober, A. 2000 On the origins of intermittency in real turbulent flows. In Proceedings of the Symposium on Intermittency in turbulent flows and other dynamical systems held at Isaac Newton Institute, Cambridge, June 21–24, 1999 (ed. Vassilicos, J. C.). Isaac Newton Institute for Mathematical Sciences, Preprint NI99017-TRB. Cambridge University Press.Google Scholar
Kholmyansky, M., Tsinober, A. & Yorish, S. 2000 Geometrical statistics in the atmospheric turbulent flow at Re λ = 104. Adv. Turbulence 8, 895898.Google Scholar
Kholmyansky, M., Tsinober, A. & Yorish, S. 2001 a Velocity derivatives in the atmospheric surface layer at Re λ = 104. Phys. Fluids 13, 311314.CrossRefGoogle Scholar
Kholmyansky, M., Tsinober, A. & Yorish, S. 2001 b Velocity derivatives in the atmospheric surface layer at Re λ = 104. Further results. In Proceedings of the Second International Symposium on Turbulence and Shear Flow Phenomena, Stockholm, June, 27–29, 2001 (ed. Lindborg, E., Johansson, A., Eaton, J., Humphrey, J., Kasagi, N., Leschziner, M. & Sommerfeld, M.), vol. 1, pp. 109–113.Google Scholar
Majda, A. J. & Kramer, P. R. 1999 Simplified models for turbulent diffusion: theory, numerical modelling, and physical phenomena. Phys. Rep. 314, 237574.CrossRefGoogle Scholar
Pumir, A. 1994 A numerical study of the mixing of a passive scalar in three dimensions in the presence of a mean gradient. Phys. Fluids 6, 21182132.CrossRefGoogle Scholar
Ruetsch, G. R. & Maxey, M. R. 1991 Small-scale features of vorticity and passive scalar fields in homogeneous turbulence. Phys. Fluids A 3, 15871597.CrossRefGoogle Scholar
Ruetsch, G. R. & Maxey, M. R. 1992 The evolution of small-scale structures in homogeneous isotropic turbulence. Phys. Fluids A 4, 27472760.CrossRefGoogle Scholar
Sawford, B. 2001 Turbulent relative dispersion. Annu. Rev. Fluid Mech. 33, 289317.CrossRefGoogle Scholar
Shen, X. & Warhaft, Z. 2000 The anisotropy of the small scale structure in high Reynolds number (Re λ ~ 1000) turbulent shear flow. Phys. Fluids 12, 29762989.CrossRefGoogle Scholar
Shraiman, B. I. & Siggia, E. D. 2000 Scalar turbulence. Nature 405, 639646.CrossRefGoogle ScholarPubMed
Sreenivasan, K. R. & Antonia, R. 1997 The phenomenology of small-scale turbulence. Annu. Rev. Fluid Mech. 29, 435472.CrossRefGoogle 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, 18831906.CrossRefGoogle Scholar
Tsinober, A. 2001 An Informal Introduction to Turbulence. Kluwer.CrossRefGoogle Scholar
Tsinober, A. & Galanti, B. 2001 Numerical experiments on geometrical statistics of passive objects in turbulent flows. Presentation at EUROMECH Workshop 428 Transport by Coherent Structures in Environmental and Geophysical Flows, Torino, 26–29 September 2001.Google Scholar
Tsinober, A. & Galanti, B. 2003 Exploratory numerical experiments on the differences between genuine and ‘passive’ turbulence. Phys. Fluids 15, 35143531.CrossRefGoogle Scholar
Vedula, P., Yeung, P. K. & Fox, R. O. 2001 Dynamics of scalar dissipation in isotropic turbulence: a numerical and modelling study. J. Fluid Mech. 433, 2960.CrossRefGoogle Scholar
Villermaux, E. 2001 Mixing: kinetics and geometry. In Mechanics for New Millenium (ed. Aref, H. & Phillips, J. W.), pp. 165180. Kluwer.CrossRefGoogle Scholar
Warhaft, Z. 2000 Passive scalars in turbulent flows. Annu. Rev. Fluid Mech. 32, 203240.CrossRefGoogle Scholar