Hostname: page-component-8448b6f56d-c4f8m Total loading time: 0 Render date: 2024-04-19T01:52:01.844Z Has data issue: false hasContentIssue false

Rayleigh–Taylor mixing in an otherwise stable stratification

Published online by Cambridge University Press:  03 November 2011

Andrew G. W. Lawrie*
Affiliation:
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK
Stuart B. Dalziel
Affiliation:
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK
*
Email address for correspondence: A.G.W.Lawrie@damtp.cam.ac.uk

Abstract

We seek to understand the distribution of irreversible energy conversions (mixing efficiency) between quiescent initial and final states in a miscible Rayleigh–Taylor driven system. The configuration we examine is a Rayleigh–Taylor unstable interface sitting between stably stratified layers with linear density profiles above and below. Our experiments in brine solution measure vertical profiles of density before and after the unstable interface is allowed to relax to a stable state. Our analysis suggests that less than half the initially available energy is irreversibly released as heat due to viscous dissipation, while more than half irreversibly changes the probability density function of the density field by scalar diffusion and therefore remains as potential energy, but in a less useful form. While similar distributions are observed in Rayleigh–Taylor driven mixing flows between homogeneous layers, our new configuration admits energetically consistent end-state density profiles that span all possible mixing efficiencies, ranging from all available energy being expended as dissipation, to none. We present experiments that show that the fluid relaxes to a state with a significantly lower mixing efficiency than the value for ideal mixing in this configuration, and deduce that this mixing efficiency more accurately characterizes Rayleigh–Taylor driven mixing than previous measurements. We argue that the physical mechanisms intrinsic to Rayleigh–Taylor instability are optimal conditions for mixing, and speculate that we have observed an upper bound to fluid mixing in general.

Type
Papers
Copyright
Copyright © Cambridge University Press 2011

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

1. Batchelor, G. K. 1954 Heat convection and buoyancy effects in fluids. Q. J. R. Meteorol. Soc. 80, 339358.CrossRefGoogle Scholar
2. Cabot, W. H. & Cook, A. W. 2006 Reynolds number effects on Rayleigh–Taylor instability with implications for type 1a supernovae. Nat. Phys. 2, 562568.CrossRefGoogle Scholar
3. Cenedese, C. & Dalziel, S. B. 1998 Concentration and depth fields determined by the light transmitted through a dyed solution. In Proceedings of the 8th International Symposium on Flow Visualization (ed. G. M. Carlomango & I. Grant), p. 061.Google Scholar
4. Cook, A. W., Cabot, W. & Miller, P. L. 2004 The mixing transition in Rayleigh–Taylor instability. J. Fluid Mech. 511, 333362.Google Scholar
5. Dalziel, S. B. 1993 Rayleigh–Taylor instability: experiments with image analysis. Dyn. Atmos. Oceans 20, 127153.Google Scholar
6. Dalziel, S. B., Linden, P. F. & Youngs, D. L. 1999 Self-similarity and internal structure of turbulence induced by Rayleigh–Taylor instability. J. Fluid Mech. 399, 148.Google Scholar
7. Dalziel, S. B., Patterson, M. D., Caulfield, C. P. & Coomaraswamy, I. A. 2008 Mixing efficiency in high-aspect-ratio Rayleigh–Taylor experiments. Phys. Fluids 20, 065106.Google Scholar
8. Dimonte, G., Youngs, D. L., Dimits, A., Weber, S., Marinak, M., Wunch, S., Garasi, C., Robinson, A., Andrews, M. J., Ramaprabhu, P., Calder, A. C., Fryxell, B., Biello, J., Dursi, L., MacNeice, P., olson, K., Ricker, P., Rosner, R., Timmes, F., Tufo, H., Young, Y. N. & Zingale, M. 2004 A comparative study of the turbulent Rayleigh–Taylor instability using high-resolution three-dimensional numerical simulations: the Alpha-Group collaboration. Phys. Fluids 16, 1668.CrossRefGoogle Scholar
9. Fernando, H. J. S. 1991 Turbulent mixing in stratified fluids. Annu. Rev. Fluid Mech. 23, 455493.CrossRefGoogle Scholar
10. Holford, J. M., Dalziel, S. B. & Youngs, D. L. 2003 Rayleigh–Taylor instability at a tilted interface in laboratory experiments and numerical simulations. Laser Part. Beams 21, 419423.CrossRefGoogle Scholar
11. Itsweire, E. C., Koseff, J. R., Briggs, D. A. & Ferziger, J. H. 1992 Turbulence in stratified shear flows: implications for interpreting shear-induced mixing in the ocean. J. Phys. Oceanogr. 23, 15081522.Google Scholar
12. Jacobs, J. W. & Dalziel, S. B. 2005 Rayleigh–Taylor instability in complex stratifications. J. Fluid Mech. 542, 251279.CrossRefGoogle Scholar
13. Lane-Serff, G. F. 1989 Heat flow and air movement in buildings. PhD thesis, DAMTP, University of Cambridge, UK.Google Scholar
14. Laurent, L. C., Simmons, H. L. & Jayne, S. R. 2006 Estimating tidally driven mixing in the deep ocean. Geophys. Res. Lett. 29, 2106.Google Scholar
15. Lawrie, A. G. W. 2009 Rayleigh–Taylor mixing: confinement by stratification and geometry. PhD thesis, DAMTP, University of Cambridge, UK.Google Scholar
16. Linden, P. F., Redondo, J. M. & Youngs, D. L. 1994 Molecular mixing in Rayleigh–Taylor instability. J. Fluid Mech. 265, 97124.CrossRefGoogle Scholar
17. Munk, W. & Wunsch, C. 1998 Abyssal recipes II: energetics of tidal and wind mixing. Deep-Sea Res. Part I: Ocean. Res. Papers 45, 19772010.Google Scholar
18. Oakey, N. S. 1982 Determination of the rate of dissipation of turbulent energy from simultaneous temperature and velocity shear microstructure measurements. J. Phys. Oceanogr. 22, 256271.Google Scholar
19. Ofer, D., Alon, U., McCrory, D., Shvarts, R. L & Verdon, C. P. 1996 Modal model for the nonlinear multimode Rayleigh–Taylor instability. Phys. Plasmas 3, 3073.CrossRefGoogle Scholar
20. Read, K. I. 1984 Experimental investigation of turbulent mixing by Rayleigh–Taylor instability. Physica D 12, 4558.Google Scholar
21. Rikanati, A., Oron, D., Alon, U. & Shvarts, D. 2000 Statistical mechanics merger model for hydrodynamic instabilities. Astrophys. J. Suppl. Ser. 127, 451457.CrossRefGoogle Scholar
22. Snider, D. M. & Andrews, M. J. 1994 Rayleigh–Taylor and shear driven mixing with an unstable thermal stratification. Phys. Fluids 6, 33243334.Google Scholar
23. Tailleux, R. 2009 On the energetics of stratified turbulent mixing,irreversible thermodynamics, Boussinesq models, and the ocean heat engine controversy. J. Fluid Mech. 638, 339382.Google Scholar
24. Tseng, Y. & Ferziger, J. H. 2001 Mixing and available potential energy in stratified flows. Phys. Fluids 13, 12811293.CrossRefGoogle Scholar
25. Turner, J. S. 1973 Buoyancy Effects in Fluids. Cambridge University Press.CrossRefGoogle Scholar
26. Turner, J. S. 1986 Turbulent entrainment: the development of the entrainment assumption, and its application to geophysical flows. J. Fluid Mech. 173, 431471.Google Scholar
27. Waddell, J. T., Niederhaus, C. E. & Jacobs, J. W. 2001 Experimental study of Rayleigh–Taylor instability: low Atwood number liquid systems with single-mode initial perturbations. Phys. Fluids 13, 12631273.CrossRefGoogle Scholar
28. Winters, K. B., Lombard, P. N., Riley, J. J. & d’Asaro, E. A 1995 Available potential energy and mixing in density-stratified fluids. J. Fluid Mech. 289, 115128.Google Scholar
29. Winters, K. B. & Young, W. R. 2009 Available potential energy and buoyancy variance in horizontal convection. J. Fluid Mech. 629, 221230.CrossRefGoogle Scholar
30. Wunsch, C. & Ferrari, R. 2004 Vertical mixing, energy and the general circulation of the oceans. Annu. Rev. Fluid Mech. 36, 281314.Google Scholar
31. Youngs, D. L. 1984 Numerical simulation of turbulent mixing by Rayleigh–Taylor instability. Physica D 12, 3244.CrossRefGoogle Scholar
32. Zufiria, J. 1988 Bubble competition in Rayleigh–Taylor instability. Phys. Fluids 31, 440446.CrossRefGoogle Scholar