Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Observation of a link between energy dissipation rate and oscillation frequency of the large-scale circulation in dry and moist Rayleigh-Bénard turbulence

Dennis Niedermeier*, Kelken Chang, Will Cantrell, Kamal Kant Chandrakar, David Ciochetto, and Raymond A. Shaw§

  • Department of Physics and Atmospheric Sciences Program, Michigan Technological University, Houghton, Michigan 49931, USA

  • *Present address: Leibniz Institute for Tropospheric Research, 04318 Leipzig, Germany; niederm@tropos.de
  • Present address: University of Gothenburg, 405 30 Gothenburg, Sweden.
  • Present address: DnA-Science and Engineering Associates, South Kingstown, RI 02852, USA.
  • §rashaw@mtu.edu

Phys. Rev. Fluids 3, 083501 – Published 15 August, 2018

DOI: https://doi.org/10.1103/PhysRevFluids.3.083501

Abstract

In this study both the small- and large-scale flow properties of turbulent Rayleigh-Bénard convection are investigated. Experiments are carried out using the Π chamber (aspect ratio Γ=2) for Rayleigh number range Ra108109 and Prandtl number Pr0.7. Furthermore, experiments are run for dry and wet conditions, i.e., top and bottom surfaces of the chamber are dry and wet, respectively. For wet conditions we further distinguish between conditions with and without the presence of sodium chloride aerosol particles which, if supersaturated conditions are achieved, lead to cloud droplet formation. We therefore refer to these conditions as moist and cloudy, respectively. We see that the addition of water vapor influences the turbulent flow. In all cases, the turbulent kinetic energy dissipation rates increase with increasing temperature difference, but the slopes are different for wet and dry convection. We do not observe a clear difference between moist and cloudy convection due to low liquid water content. A similar lack of collapse with Ra is observed for the characteristic oscillations of the large-scale circulation. We observe that the first normalized characteristic oscillation frequency increased with increasing temperature difference, i.e., increasing Ra, for all conditions considered, but the slopes are different for wet and dry convection with again no clear difference between moist and cloudy convection. It turns out that the sloshing or torsional mode of the large-scale circulation and the turbulent flow or energy dissipation rate seem to be influenced by the same mechanism additional to the effect of buoyancy alone. These observational results provide supporting evidence that the large-scale circulation is insensitive to phase composition or interfacial physics and rather depends only on the strength of the turbulence.

Physics Subject Headings (PhySH)

Article Text

References (46)

  1. G. Ahlers, S. Grossmann, and D. Lohse, Heat transfer and large scale dynamics in turbulent Rayleigh-Bénard convection, Rev. Mod. Phys. 81, 503 (2009).
  2. F. Chillà and J. Schumacher, New perspectives in turbulent Rayleigh-Bénard convection, Eur. Phys. J. E 35, 1 (2012).
  3. D. Funfschilling and G. Ahlers, Plume Motion and Large-Scale Circulation in a Cylindrical Rayleigh-Bénard cell, Phys. Rev. Lett. 92, 194502 (2004).
  4. C. Sun, H.-D. Xi, and K.-Q. Xia, Azimuthal Symmetry, Flow Dynamics, and Heat Transport in Turbulent Thermal Convection in a Cylinder with an Aspect Ratio of 0.5, Phys. Rev. Lett. 95, 074502 (2005).
  5. E. P. van der Poel, R. J. A. M. Stevens, and D. Lohse, Connecting flow structures and heat flux in turbulent Rayleigh-Bénard convection, Phys. Rev. E 84, 045303 (2011).
  6. G. Ahlers, Trend: turbulent convection, Physics 2, 74 (2009).
  7. H.-D. Xi, S.-Q. Zhou, Q. Zhou, T.-S. Chan, and K.-Q. Xia, Origin of the Temperature Oscillation in Turbulent Thermal Convection, Phys. Rev. Lett. 102, 044503 (2009).
  8. X.-L. Qiu, X.-D. Shang, P. Tong, and K.-Q. Xia, Velocity oscillations in turbulent Rayleigh-Bénard convection, Phys. Fluids 16, 412 (2004).
  9. H. Siebert, H. Franke, K. Lehmann, R. Maser, E. W. Saw, R. A. Shaw, D. Schell, and M. Wendisch, Probing finescale dynamics and microphysics of clouds with helicopter-borne measurements, Bull. Am. Meteorol. Soc. 87, 1727 (2006).
  10. R. A. Shaw, Particle-turbulence interactions in atmospheric clouds, Annu. Rev. Fluid Mech. 35, 183 (2003).
  11. S. P. Malinowski, M. Andrejczuk, W. W. Grabowski, P. Korczyk, T. A. Kowalewski, and P. K. Smolarkiewicz, Laboratory and modeling studies of cloud-clear air interfacial mixing: Anisotropy of small-scale turbulence due to evaporative cooling, New J. Phys. 10, 075020 (2008).
  12. K. Chang, J. Bench, M. Brege, W. Cantrell, K. Chandrakar, D. Ciochetto, C. Mazzoleni, L. Mazzoleni, D. Niedermeier, and R. Shaw, A laboratory facility to study gas-aerosol-cloud interactions in a turbulent environment: The Π chamber, Bull. Am. Meteorol. Soc. 97, 2344 (2016).
  13. D. Lamb and J. Verlinde, Physics and Chemistry of Clouds (Cambridge University Press, Cambridge, 2011), p. 231ff.
  14. A. Betts, Non-precipitating cumulus convection and its parameterization, Q. J. R. Meteorol. Soc. 99, 178 (1973).
  15. J. W. Deardorff, Usefulness of liquid-water potential temperature in a shallow-cloud model, J. Appl. Meteor. 15, 98 (1976).
  16. G.-W. He and J.-B. Zhang, Elliptic model for space-time correlations in turbulent shear flows, Phys. Rev. E 73, 055303 (2006).
  17. X. He, G.-W. He, and P. Tong, Small-scale turbulent fluctuations beyond Taylor's frozen-flow hypothesis, Phys. Rev. E 81, 065303(R) (2010).
  18. X. He, D. P. van Gils, E. Bodenschatz, and G. Ahlers, Reynolds numbers and the elliptic approximation near the ultimate state of turbulent Rayleigh-Bénard convection, New J. Phys. 17, 063028 (2015).
  19. H. Tennekes and J. L. Lumley, A First Course in Turbulence (MIT Press, Cambridge, 1999).
  20. S. Chen and R. H. Kraichnan, Sweeping decorrelation in isotropic turbulence, Phys. Fluids A 1, 2019 (1989).
  21. K. P. Iyer and P. K. Yeung, Structure functions and applicability of Yaglom's relation in passive-scalar turbulent mixing at low Schmidt numbers with uniform mean gradient, Phys. Fluids 26, 085107 (2014).
  22. K. R. Sreenivasan, The passive scalar spectrum and the Obukhov-Corrsin constant, Phys. Fluids 8, 189 (1996).
  23. J. D. Scheel and J. Schumacher, Predicting transition ranges to fully turbulent viscous boundary layers in low Prandtl number convection flows, Phys. Rev. Fluids 2, 123501 (2017).
  24. S. Grossmann and D. Lohse, Scaling in thermal convection: a unifying theory, J. Fluid Mech. 407, 27 (2000).
  25. S. Grossmann and D. Lohse, Thermal Convection for Large Prandtl Numbers, Phys. Rev. Lett. 86, 3316 (2001).
  26. S. Grossmann and D. Lohse, Prandtl and Rayleigh number dependence of the Reynolds number in turbulent thermal convection, Phys. Rev. E 66, 016305 (2002).
  27. S. Grossmann and D. Lohse, Fluctuations in turbulent Rayleigh-Bénard convection: The role of plumes, Phys. Fluids 16, 4462 (2004).
  28. F. Heslot, B. Castaing, and A. Libchaber, Transitions to turbulence in helium gas, Phys. Rev. A 36, 5870(R) (1987).
  29. B. Castaing, G. Gunaratne, F. Heslot, L. Kadanoff, A. Libchaber, S. Thomae, X.-Z. Wu, S. Zaleski, and G. Zanetti, Scaling of hard thermal turbulence in Rayleigh-Bénard convection, J. Fluid Mech. 204, 1 (1989).
  30. S. Cioni, S. Ciliberto, and J. Sommeria, Strongly turbulent Rayleigh-Bénard convection in mercury: Comparison with results at moderate Prandtl number, J. Fluid Mech. 335, 111 (1997).
  31. X.-L. Qiu, S.-H. Yao, and P. Tong, Large-scale coherent rotation and oscillation in turbulent thermal convection, Phys. Rev. E 61, 6075(R) (2000).
  32. X.-L. Qiu and P. Tong, Temperature oscillations in turbulent Rayleigh-Bénard convection, Phys. Rev. E 66, 026308 (2002).
  33. J. J. Niemela, L. Skrbek, K. R. Sreenivasan, and R. J. Donnelly, Turbulent convection at very high Rayleigh numbers, J. Fluid Mech. 449, 169 (2001).
  34. X.-L. Qiu and P. Tong, Onset of Coherent Oscillations in Turbulent Rayleigh-Bénard Convection, Phys. Rev. Lett. 87, 094501 (2001).
  35. K. R. Sreenivasan, A. Bershadskii, and J. J. Niemela, Mean wind and its reversal in thermal convection, Phys. Rev. E 65, 056306 (2002).
  36. C. Resagk, R. du Puit, A. Thess, F. V. Dolzhansky, S. Grossmann, F. F. Araujo, and D. Lohse, Oscillations of the large scale wind in turbulent thermal convection, Phys. Fluids 18, 095105 (2006).
  37. D. Funfschilling, E. Brown, and G. Ahlers, Torsional oscillations of the large-scale circulation in turbulent Rayleigh-Bénard convection, J. Fluid Mech. 607, 119 (2008).
  38. N. Shi, M. S. Emran, and J. Schumacher, Boundary layer structure in turbulent Rayleigh-Bénard convection, J. Fluid Mech. 706, 5 (2012).
  39. E. Brown and G. Ahlers, The origin of oscillations of the large-scale circulation of turbulent Rayleigh-Bénard convection, J. Fluid Mech. 638, 383 (2009).
  40. T. Hayakawa and Y. Tsuji, Mean wind: Its velocity and temperature fluctuation in low-Prandtl-number thermal convection, Physica D 239, 1353 (2010).
  41. J. Bjerknes, Saturated-adiabatic ascent of air through dry-adiabatically descending environment, Q. J. R. Meteorol. Soc. 64, 325 (1938).
  42. J. Schumacher and O. Paulius, Buoyancy statistics in moist turbulent Rayleigh-Bénard convection, J. Fluid Mech. 648, 509 (2010).
  43. X. Chavanne, F. Chilla, B. Castaing, B. Hebral, B. Chabaud, and J. Chaussy, Observation of the Ultimate Regime in Rayleigh-Bénard Convection, Phys. Rev. Lett. 79, 3648 (1997).
  44. J. Schumacher, V. Bandaru, A. Pandey, and J. D. Scheel, Transitional boundary layers in low-Prandtl-number convection, Phys. Rev. Fluids 1, 084402 (2016).
  45. Y.-C. Xie, P. Wei, and K.-Q. Xia, Dynamics of the large-scale circulation in high-Prandtl-number turbulent thermal convection, J. Fluid Mech. 717, 322 (2013).
  46. P. K. Kundu, I. M. Cohen, and D.-R. Dowling, Fluid Mechanics, 6th ed. (Academic, New York, 2016).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation