Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-09T09:14:37.408Z Has data issue: false hasContentIssue false

Analysis of the thermal plumes in turbulent Rayleigh–Bénard convection based on well-resolved numerical simulations

Published online by Cambridge University Press:  10 January 2009

M. KACZOROWSKI*
Affiliation:
DLR – Institute of Aerodynamics and Flow Technology, Bunsenstr. 10, 37073 Göttingen, Germany
C. WAGNER
Affiliation:
DLR – Institute of Aerodynamics and Flow Technology, Bunsenstr. 10, 37073 Göttingen, Germany
*
Email address for correspondence: [email protected]

Abstract

In this study, direct numerical simulations and high-resolved large eddy simulations of turbulent Rayleigh–Bénard convection were conducted with a fluid of Prandtl number Pr = 0.7 in a long rectangular cell of aspect ratio unity in the cross-section and periodic boundaries in a horizontal longitudinal direction. The analysis of the thermal and kinetic energy spectra suggests that temperature and velocity fields are correlated within the thermal boundary layers and tend to be uncorrelated in the core region of the flow. A tendency of decorrelation of the temperature and velocity fields is also observed for increasing Ra when the flow has become fully turbulent, which is thought to characterize this regime. This argument is also supported by the analysis of the correlation of the turbulent fluctuations |u|′ and θ′. The plume and mixing layer dominated region is found to be separated from the thermal dissipation rates of the bulk and conductive sublayer by the inflection points of the probability density function (PDF). In order to analyse the contributions of bulk, boundary layers and plumes to the mean heat transfer, the thermal dissipation rate PDFs of four different Ra are integrated over these three regions. Hence, it is shown that the core region is dominated by the turbulent fluctuations of the thermal dissipation rate throughout the range of simulated Ra, whereas the contributions from the conductive sublayer due to turbulent fluctuations increase rapidly with Ra. The latter contradicts results by He, Tong & Xia (Phys. Rev. Lett., vol. 98, 2007). The results also show that the plumes and mixing layers are increasingly dominated by the mean gradient contributions. The PDFs of the core region are compared to an analytical scaling law for passive scalar turbulence which is found to be in good agreement with the results of the present study. It is noted that the core region scaling seems to approach the behaviour of a passive scalar as Ra increases, i.e. it changes from pure exponential to a stretched exponential scaling.

Type
Papers
Copyright
Copyright © Cambridge University Press 2008

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

Belmonte, A., Tilgner, A. & Libchaber, A. 1994 Temperature and velocity boundary layers in turbulent convection. Phys. Rev. E 50 (1), 269279.Google ScholarPubMed
Bolgiano, R. 1959 Turbulent spectra in a stably stratified atmosphere. J. Geophys. Res. 64 (12), 22262229.CrossRefGoogle Scholar
Castaing, B., Gunarante, G., Heslot, F., Kadanoff, L., Liebchaber, A., Thomae, S., Wu, X., Zaleski, S. & Zanetti, G. 1989 Scaling of hard thermal turbulence in Rayleigh–Bénard convection. J. Fluid Mech. 204, 130.CrossRefGoogle Scholar
Chertkov, M., Falkovich, G. & Kolokolov, I. 1998 Intermittent dissipation of a passive scalar in turbulence. Phys. Rev. Lett. 80 (10), 21212124.CrossRefGoogle Scholar
Gamba, A. & Kolokolov, I. V. 1999 Dissipation statistics of a passive scalar in a multidimensional smooth flow. J. Stat. Phys. 94, 759777.CrossRefGoogle Scholar
Grossmann, S. & Lohse, D. 2000 Scaling in thermal convection: a unifying theory. J. Fluid Mech. 407, 2756.CrossRefGoogle Scholar
Grossmann, S. & Lohse, D. 2004 Fluctuations in turbulent Rayleigh–Bénard convection: the role of plumes. Phys. Fluids 16 (12), 44624472.CrossRefGoogle Scholar
Grötzbach, G. 1983 Spatial resolution requirements for direct numerical simulation of Rayleigh–Bénard convection. J. Comp. Phys. 49, 241264.CrossRefGoogle Scholar
Hartlep, T. 2004 Strukturbildung und Turbulenz. Eine numerische Studie zur turbulenten Rayleigh-Bénard Konvektion. PhD thesis, Universität Göttingen.Google Scholar
Hartlep, T., Tilgner, A. & Busse, F. H. 2005 Transition to turbulent convection in a fluid layer heated from below at moderate aspect ratio. J. Fluid Mech. 554, 309322.CrossRefGoogle Scholar
He, X., Tong, P. & Xia, K.-Q. 2007 Measured dissipation field in turbulent Rayleigh–Bénard convection. Phys. Rev. Lett. 98 (14).CrossRefGoogle ScholarPubMed
Kraichnan, R. H. 1962 Turbulent thermal convection at arbitrary Prandtl number. Phys. Fluids 5, 13741389.CrossRefGoogle Scholar
Leonard, A. & Winkelmans, G. S. 1999 A tensor-diffusivity subgrid model for Large-Eddy Simulation. Tech. Rep. 043. Caltech ASCI.CrossRefGoogle Scholar
Lohse, D. 1994 Temperature spectra in shear flow and thermal convection. Phys. Lett. A 196, 7075.CrossRefGoogle Scholar
Maystrenko, A., Resagk, C. & Thess, A. 2007 Structure of the thermal boundary layer for turbulent Rayleigh–Bénard convection of air in a long rectangular enclosure. Phys. Rev. E 75 (6), 066303.Google Scholar
Niemela, J. J., Skrbek, L., Sreenivasan, K. R. & Donelly, R. J. 2000 Turbulent convection at very high Rayleigh numbers. Nature 404, 837840.CrossRefGoogle ScholarPubMed
Oboukhov, A. M. 1962 Some specific features of atmospheric turbulence. J. Fluid. Mech. 13, 7781.CrossRefGoogle Scholar
du Puits, R., Resagk, C., Tilgner, A., Busse, F. H. & Thess, A. 2007 Structure of thermal boundary layers in turbulent Rayleigh–Bénard convection. J. Fluid Mech. 572, 231254.CrossRefGoogle Scholar
Roche, P. E., Castaing, B. & Hebral, B. 2001 Observation of the 1/2 power law in Rayleigh–Bénard convection. Phys. Rev. E 63.Google Scholar
Schumacher, J. & Sreenivasan, K. R. 2005 Statistics and geometry of passive scalars. Phys. Fluids 17 125107.CrossRefGoogle Scholar
Schumann, U., Grötzbach, G. & Kleiser, L. 1979 Direct numerical simulations of turbulence. In Prediction Methods for Turbulent Flows, VKI-lecture series 1979 2. Von Kármán Institute for Fluid Dynamics.Google Scholar
Shishkina, O. & Wagner, C. 2006 Analysis of thermal dissipation rates in turbulent Rayleigh–Bénard convection. J. Fluid Mech. 546, 5160.CrossRefGoogle Scholar
Shishkina, O. & Wagner, C. 2007 a Boundary and interior layers in turbulent thermal convection in cylindrical containers. Int. J. Sci. Comp. Math. 1 (2/3/4), 360373.CrossRefGoogle Scholar
Shishkina, O. & Wagner, C. 2007 b Local heat fluxes in turbulent Rayleigh–Bénard convection. Phys. Fluids 19 (8), 085107–1–085107–13.CrossRefGoogle Scholar
Shishkina, O. & Wagner, C. 2008 Analysis of sheetlike thermal plumes in turbulent Rayleigh–Bénard convection. J. Fluid Mech. 599, 383404.CrossRefGoogle Scholar
Shraiman, B. I. & Siggia, E. D. 1990 Heat transport in high-Rayleigh-number convection. Phys. Rev. A 42, 36503653.CrossRefGoogle ScholarPubMed
Swarztrauber, P. N. 1974 A direct method for the discrete solution of separable elliptic equations. SIAM J. Num. Anal. 11, 11361150.CrossRefGoogle Scholar
Verzicco, R. & Camussi, R. 2003 a Numerical experiments on strongly turbulent thermal convection in a slender cylindrical cell. J. Fluid Mech. 477, 1949.CrossRefGoogle Scholar
Verzicco, R. & Camussi, R. 2003 b Turbulent thermal convection in a closed domain: viscous boundary layer and mean flow effects. Eur. Phys. J. B. 35.CrossRefGoogle Scholar
Verzicco, R. & Sreenivasan, K. R. 2008 A comparison of turbulent thermal convection between conditions of constant temperature and constant heat flux. J. Fluid Mech. 595, 203219.CrossRefGoogle Scholar
Xi, H.-D., Lam, S. & Xia, K.-Q. 2004 From laminar plumes to organized flows: the onset of large-scale circulation in turbulent thermal convection. J. Fluid Mech. 503, 4756.CrossRefGoogle Scholar
Zhou, S.-Q. & Xia, K.-Q. 2002 Plumes statistics in thermal turbulence: mixing of an active scalar. Phys. Rev. Lett. 89 (18), 184502.CrossRefGoogle ScholarPubMed