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Kinetic energy and enstrophy transfer in compressible Rayleigh–Taylor turbulence

Published online by Cambridge University Press:  14 October 2020

Zhiye Zhao
Affiliation:
Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui230026, PR China
Nan-Sheng Liu
Affiliation:
Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui230026, PR China
Xi-Yun Lu*
Affiliation:
Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui230026, PR China
*
Email address for correspondence: xlu@ustc.edu.cn

Abstract

Kinetic energy and enstrophy transfer in compressible Rayleigh–Taylor (RT) turbulence were investigated by means of direct numerical simulation. It is revealed that compressibility plays an important role in the kinetic energy and enstrophy transfer based on analyses of transport and large-scale equations. For the generation and transfer of kinetic energy, some findings have been obtained as follows. The pressure-dilatation work dominates the generation of kinetic energy in the early stage of flow evolution. The baropycnal work and deformation work handle the kinetic energy transfer from large to small scales on average for RT turbulence. The baropycnal work is mainly responsible for the kinetic energy transfer on large scales, and the deformation work for the kinetic energy transfer on small scales. The baropycnal work is also disclosed to be related to the compressibility from the finding that the expansion motion enhances the positive baropycnal work and the compression motion strengthens the negative baropycnal work. For the generation and transfer of enstrophy, the horizontal enstrophy is generated by the baroclinic effect and the vertical enstrophy by vortex stretching and tilting. Then the enstrophy is strengthened by the vortex stretching and tilting during the evolution of RT turbulence and the vorticity tends to be isotropic in the turbulent mixing region. The large-scale enstrophy equation in compressible flow has also been derived to deal with the enstrophy transfer. It is identified that the enstrophy is transferred from large to small scales on average and tends to stabilize for RT turbulence.

Type
JFM Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

REFERENCES

Aluie, H. 2011 Compressible turbulence: the cascade and its locality. Phys. Rev. Lett. 106 (17), 174502.CrossRefGoogle ScholarPubMed
Aluie, H. 2013 Scale decomposition in compressible turbulence. Physica D 247, 5465.CrossRefGoogle Scholar
Besnard, D. 2007 The megajoule laser programignition at hand. Eur. Phys. J. D 44, 207213.CrossRefGoogle Scholar
Bian, X., Aluie, H., Zhao, D., Zhang, H. & Livescu, D. 2020 Revisiting the late-time growth of single-mode rayleigh–taylor instability and the role of vorticity. Physica D 403, 132250.CrossRefGoogle Scholar
Bodner, S. E., Colombant, D. G., Gardner, J. H., Lehmberg, R. H., Obenschain, S. P., Phillips, L., Schmitt, A. J., Sethian, J. D., McCrory, R. L., Seka, W., et al. 1998 Direct-drive laser fusion: status and prospects. Phys. Plasmas 5, 19011918.CrossRefGoogle Scholar
Boffetta, G. & Mazzino, A. 2017 Incompressible Rayleigh–Taylor turbulence. Annu. Rev. Fluid Mech. 49, 119143.CrossRefGoogle Scholar
Boffetta, G., Mazzino, A., Musacchio, S. & Vozella, L. 2009 Kolmogorov scaling and intermittency in Rayleigh–Taylor turbulence. Phys. Rev. E 79, 065301(R).CrossRefGoogle ScholarPubMed
Cabot, W. 2006 Comparison of two- and three-dimensional simulations of miscible Rayleigh–Taylor instability. Phys. Fluids 18 (4), 045101.CrossRefGoogle Scholar
Cabot, W. H. & Cook, A. W. 2006 Reynolds number effects on Rayleigh–Taylor instability with possible implications for type Ia supernovae. Nature Phys. 2 (8), 562568.CrossRefGoogle Scholar
Cabot, W. & Zhou, Y. 2013 Statistical measurements of scaling and anisotropy of turbulent flows induced by Rayleigh–Taylor instability. Phys. Fluids 25 (1), 015107.CrossRefGoogle Scholar
Caproni, A., Lanfranchi, G. A., da Silva, A. L. & Falceta-Gonçalves, D. 2015 Three-dimensional hydrodynamical simulations of the supernovae-driven gas loss in the dwarf spheroidal galaxy Ursa minor. Astrophys. J. 805, 109.CrossRefGoogle Scholar
Celani, A., Mazzino, A. & Vozella, L. 2006 Rayleigh–Taylor turbulence in two dimensions. Phys. Rev. Lett. 96 (13), 134504.CrossRefGoogle ScholarPubMed
Chertkov, M. 2003 Phenomenology of Rayleigh–Taylor turbulence. Phys. Rev. Lett. 91 (11), 115001.CrossRefGoogle ScholarPubMed
Chertkov, M., Lebedev, V. & Vladimirova, N. 2009 Reactive Rayleigh–Taylor turbulence. J. Fluid Mech. 633, 116.CrossRefGoogle Scholar
Chu, Y.-B. & Lu, X.-Y. 2013 Topological evolution in compressible turbulent boundary layers. J. Fluid Mech. 733, 414438.CrossRefGoogle Scholar
Clark, T. T. 2003 A numerical study of the statistics of a two-dimensional Rayleigh–Taylor mixing layer. Phys. Fluids 15, 24132423.CrossRefGoogle Scholar
Cook, A. W. & Zhou, Y. 2002 Energy transfer in Rayleigh–Taylor instability. Phys. Rev. E 66, 026312.CrossRefGoogle ScholarPubMed
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
Dimotakis, P. E. 2000 The mixing transition in turbulent flows. J. Fluid Mech. 409, 6998.Google Scholar
Gauthier, S. 2017 Compressible Rayleigh–Taylor turbulent mixing layer between Newtonian miscible fluids. J. Fluid Mech. 830, 211256.CrossRefGoogle Scholar
George, E. & Glimm, J. 2005 Self-similarity of Rayleigh–Taylor mixing rates. Phys. Fluids 17 (5), 054101.Google Scholar
Hinds, W. C., Ashley, A., Kennedy, N. J. & Bucknam, P. 2002 Conditions for cloud settling and Rayleigh–Taylor instability. Aerosol Sci. Technol. 36, 11281138.CrossRefGoogle Scholar
Jiang, G.-S. & Shu, C.-W. 1996 Efficient implementation of weighted ENO schemes. J. Comput. Phys. 126, 202228.CrossRefGoogle Scholar
Jin, H., Liu, X.-F., Lu, T., Cheng, B., Glimm, J. & Sharp, D. H. 2005 Rayleigh–Taylor mixing rates for compressible flow. Phys. Fluids 17 (2), 024104.CrossRefGoogle Scholar
Kord, A. & Capecelatro, J. 2019 Optimal perturbations for controlling the growth of a Rayleigh–Taylor instability. J. Fluid Mech. 876, 150185.Google Scholar
Lafay, M.-A., Le Creurer, B. & Gauthier, S. 2007 Compressibility effects on the Rayleigh–Taylor instability between miscible fluids. Europhys. Lett. 79, 64002.CrossRefGoogle Scholar
Le Creurer, B. & Gauthier, S. 2008 A return toward equilibrium in a 2D Rayleigh–Taylor instability for compressible fluids with a multidomain adaptive Chebyshev method. Theor. Comput. Fluid Dyn. 22, 125144.CrossRefGoogle Scholar
Lees, A. & Aluie, H. 2019 Baropycnal work: a mechanism for energy transfer across scales. Fluids 4 (2), 92.Google Scholar
Li, H.-F., He, Z.-W., Zhang, Y.-S. & Tian, B.-L. 2019 On the role of rarefaction/compression waves in Richtmyer–Meshkov instability with reshock. Phys. Fluids 31 (5), 054102.Google Scholar
Matsumoto, T. 2009 Anomalous scaling of three-dimensional Rayleigh–Taylor turbulence. Phys. Rev. E 79 (5), 055301.CrossRefGoogle ScholarPubMed
Mellado, J. P., Sarkar, S. & Zhou, Y. 2005 Large-eddy simulation of Rayleigh–Taylor turbulence with compressible miscible fluids. Phys. Fluids 17, 076101.CrossRefGoogle Scholar
Momeni, M. 2013 Linear study of Rayleigh–Taylor instability in a diffusive quantum plasma. Phys. Plasmas 20, 082108.CrossRefGoogle Scholar
Novak, G. S., Ostriker, J. P. & Ciotti, L. 2011 Feedback from central black holes in elliptical galaxies: two-dimensional models compared to one-dimensional models. Astrophys. J. 737, 26.CrossRefGoogle Scholar
Olson, B. J. & Cook, A. W. 2007 Rayleigh–Taylor shock waves. Phys. Fluids 19 (12), 128108.CrossRefGoogle Scholar
Qiu, X., Liu, Y.-L. & Zhou, Q. 2014 Local dissipation scales in two-dimensional Rayleigh–Taylor turbulence. Phys. Rev. E 90, 043012.Google ScholarPubMed
Reckinger, S. J., Livescu, D. & Vasilyev, O. V. 2012 Simulations of compressible Rayleigh–Taylor instability using the adaptive wavelet collocation method. In Seventh International Conference on Computational Fluid Dynamics (ICCFD7), Big Island, Hawaii.Google Scholar
Reckinger, S. J., Livescu, D. & Vasilyev, O. V. 2016 Comprehensive numerical methodology for direct numerical simulations of compressible Rayleigh–Taylor instability. J. Comput. Phys. 313, 181208.CrossRefGoogle Scholar
Schneider, N. & Gauthier, S. 2016 Vorticity and mixing in Rayleigh–Taylor Boussinesq turbulence. J. Fluid Mech. 802, 395436.CrossRefGoogle Scholar
Vladimirova, N. & Chertkov, M. 2009 Self-similarity and universality in Rayleigh–Taylor, Boussinesq turbulence. Phys. Fluids 21, 015102.CrossRefGoogle Scholar
Wang, L. & Lu, X.-Y. 2012 Flow topology in compressible turbulent boundary layer. J. Fluid Mech. 703, 255278.CrossRefGoogle Scholar
Wang, J.-C., Wan, M.-P., Chen, S. & Chen, S.-Y. 2018 Kinetic energy transfer in compressible isotropic turbulence. J. Fluid Mech. 841, 581613.CrossRefGoogle Scholar
Wang, J.-C., Yang, Y.-T., Shi, Y.-P., Xiao, Z.-L., He, X.-T. & Chen, S.-Y. 2013 Cascade of kinetic energy in three-dimensional compressible turbulence. Phys. Rev. Lett. 110, 214505.Google ScholarPubMed
Wieland, S. A., Hamlington, P. E., Reckinger, S. J. & Livescu, D. 2019 Effects of isothermal stratification strength on vorticity dynamics for single-mode compressible Rayleigh–Taylor instability. Phys. Rev. Fluids 4 (9), 093905.Google Scholar
Yeung, P. K. & Pope, S. B. 1989 Lagrangian statistics from direct numerical simulations of isotropic turbulence. J. Fluid Mech. 207, 531586.Google Scholar
Youngs, D. L. 1984 Numerical simulation of turbulent mixing by Rayleigh-Taylor instability. Physica D 12, 3244.CrossRefGoogle Scholar
Youngs, D. L. 1991 Three-dimensional numerical simulation of turbulent mixing by Rayleigh–Taylor instability. Phys. Fluids A 3, 13121320.CrossRefGoogle Scholar
Yu, J.-L. & Lu, X.-Y. 2019 Topological evolution near the turbulent/non-turbulent interface in turbulent mixing layer. J. Turbul. 20, 300321.CrossRefGoogle Scholar
Yu, J.-L. & Lu, X.-Y. 2020 Subgrid effects on the filtered velocity gradient dynamics in compressible turbulence. J. Fluid Mech. 892, A24.CrossRefGoogle Scholar
Zhou, Y. 2001 A scaling analysis of turbulent flows driven by Rayleigh–Taylor and Richtmyer–Meshkov instabilities. Phys. Fluids 13 (2), 538543.CrossRefGoogle Scholar
Zhou, Q. 2013 Temporal evolution and scaling of mixing in two-dimensional Rayleigh–Taylor turbulence. Phys. Fluids 25, 085107.Google Scholar
Zhou, Y. 2017 a Rayleigh–Taylor and Richtmyer–Meshkov instability induced flow, turbulence, and mixing. I. Phys. Rep. 720, 1136.Google Scholar
Zhou, Y. 2017 b Rayleigh–Taylor and Richtmyer–Meshkov instability induced flow, turbulence, and mixing. II. Phys. Rep. 723, 1160.Google Scholar
Zhou, Q., Huang, Y.-X., Lu, Z.-M., Liu, Y.-L. & Ni, R. 2016 Scale-to-scale energy and enstrophy transport in two-dimensional Rayleigh–Taylor turbulence. J. Fluid Mech. 786, 294308.CrossRefGoogle Scholar
Zhou, Z.-R., Zhang, Y.-S. & Tian, B.-L. 2018 Dynamic evolution of Rayleigh–Taylor bubbles from sinusoidal, W-shaped, and random perturbations. Phys. Rev. E 97 (3), 033108.CrossRefGoogle ScholarPubMed
Zweibel, E. 1991 Spinning a tangled web. Nature 352, 755756.Google Scholar