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Turbulent shear-layer mixing: initial conditions, and direct-numerical and large-eddy simulations

Published online by Cambridge University Press:  19 August 2019

Nek Sharan*
Affiliation:
Graduate Aerospace Laboratories, California Institute of Technology, Pasadena, CA 91125, USA
Georgios Matheou
Affiliation:
Department of Mechanical Engineering, University of Connecticut, Storrs, CT 06269, USA
Paul E. Dimotakis
Affiliation:
Graduate Aerospace Laboratories, California Institute of Technology, Pasadena, CA 91125, USA
*
Email address for correspondence: [email protected]

Abstract

Aspects of turbulent shear-layer mixing are investigated over a range of shear-layer Reynolds numbers, $Re_{\unicode[STIX]{x1D6FF}}=\unicode[STIX]{x0394}U\unicode[STIX]{x1D6FF}/\unicode[STIX]{x1D708}$, based on the shear-layer free-stream velocity difference, $\unicode[STIX]{x0394}U$, and mixing-zone thickness, $\unicode[STIX]{x1D6FF}$, to probe the role of initial conditions in mixing stages and the evolution of the scalar-field probability density function (p.d.f.) and variance. Scalar transport is calculated for unity Schmidt numbers, approximating gas-phase diffusion. The study is based on direct-numerical simulation (DNS) and large-eddy simulation (LES), comparing different subgrid-scale (SGS) models for incompressible, uniform-density, temporally evolving forced shear-layer flows. Moderate-Reynolds-number DNS results help assess and validate LES SGS models in terms of scalar-spectrum and mixing estimates, as well as other metrics, to $Re_{\unicode[STIX]{x1D6FF}}\lesssim 3.3\times 10^{4}$. High-Reynolds-number LES investigations to $Re_{\unicode[STIX]{x1D6FF}}\lesssim 5\times 10^{5}$ help identify flow parameters and conditions that influence the evolution of scalar variance and p.d.f., e.g. marching versus non-marching. Initial conditions that generate shear flows with different mixing behaviour elucidate flow characteristics in each flow regime and identify elements that induce p.d.f. transition and scalar-variance behaviour. P.d.f. transition is found to be largely insensitive to local flow parameters, such as $Re_{\unicode[STIX]{x1D6FF}}$, or a previously proposed vortex-pairing parameter based on downstream distance, or other equivalent criteria. The present study also allows a quantitative comparison of LES SGS models in moderate- and high-$Re_{\unicode[STIX]{x1D6FF}}$ forced shear-layer flows.

Type
JFM Papers
Copyright
© 2019 Cambridge University Press 

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References

Almagro, A., García-Villalba, M. & Flores, O. 2017 A numerical study of a variable-density low-speed turbulent mixing layer. J. Fluid Mech. 830, 569601.10.1017/jfm.2017.583Google Scholar
Arakawa, A. & Lamb, V. R. 1977 Computational design of the basic dynamical processes of the UCLA general circulation model. Meth. Comput. Phys. 17, 173265.Google Scholar
Attili, A. & Bisetti, F. 2012 Statistics and scaling of turbulence in a spatially developing mixing layer at Re𝜆 = 250. Phys. Fluids 24 (3), 035109.10.1063/1.3696302Google Scholar
Balaras, E., Piomelli, U. & Wallace, J. M. 2001 Self-similar states in turbulent mixing layers. J. Fluid Mech. 446, 124.10.1017/S0022112001005626Google Scholar
Batchelor, G. K. 1959 Small-scale variation of convected quantities like temperature in turbulent fluid. Part 1. General discussion and the case of small conductivity. J. Fluid Mech. 5, 113133.10.1017/S002211205900009XGoogle Scholar
Batt, R. G. 1975 Some measurements on the effect of tripping the two-dimensional shear layer. AIAA J. 13 (2), 245247.10.2514/3.49681Google Scholar
Batt, R. G. 1977 Turbulent mixing of passive and chemically reacting species in a low-speed shear layer. J. Fluid Mech. 82 (1), 5395.10.1017/S0022112077000536Google Scholar
Bell, J. H. & Mehta, R. D. 1990 Development of a two-stream mixing layer from tripped and untripped boundary layers. AIAA J. 28 (12), 20342042.10.2514/3.10519Google Scholar
Brown, G. L. & Roshko, A. 1974 On density effects and large structure in turbulent mixing layers. J. Fluid Mech. 64 (4), 775816.10.1017/S002211207400190XGoogle Scholar
Carlier, J. & Sodjavi, K. 2016 Turbulent mixing and entrainment in a stratified horizontal plane shear layer: joint velocity–temperature analysis of experimental data. J. Fluid Mech. 806, 542579.10.1017/jfm.2016.592Google Scholar
Chung, D. & Matheou, G. 2012 Direct numerical simulation of stationary homogeneous stratified sheared turbulence. J. Fluid Mech. 696, 434467.10.1017/jfm.2012.59Google Scholar
Clark, R. A., Ferziger, J. H. & Reynolds, W. C. 1979 Evaluation of subgrid-scale models using an accurately simulated turbulent flow. J. Fluid Mech. 91 (1), 116.10.1017/S002211207900001XGoogle Scholar
Clemens, N. T. & Mungal, M. G. 1995 Large-scale structure and entrainment in the supersonic mixing layer. J. Fluid Mech. 284, 171216.10.1017/S0022112095000310Google Scholar
Corcos, G. M. & Lin, S. J. 1984 The mixing layer: deterministic models of the turbulent flow. Part 2. The origin of the three-dimensional motion. J. Fluid Mech. 139, 6795.10.1017/S0022112084000264Google Scholar
Corcos, G. M. & Sherman, F. S. 1984 The mixing layer: deterministic models of the turbulent flow. Part 1. Introduction and the two-dimensional flow. J. Fluid Mech. 139, 2965.10.1017/S0022112084000252Google Scholar
Corrsin, S. 1951 On the spectrum of isotropic temperature fluctuations in an isotropic turbulence. J. Appl. Phys. 22 (4), 469473.10.1063/1.1699986Google Scholar
Cortesi, A. B., Smith, B. L., Sigg, B. & Banerjee, S. 2001 Numerical investigation of the scalar probability density function distribution in neutral and stably stratified mixing layers. Phys. Fluids 13 (4), 927950.10.1063/1.1352622Google Scholar
Dimotakis, P. E. 1986 Two-dimensional shear-layer entrainment. AIAA J. 24 (11), 17911796.10.2514/3.9525Google Scholar
Dimotakis, P. E. 2000 The mixing transition in turbulent flows. J. Fluid Mech. 409, 6998.10.1017/S0022112099007946Google Scholar
Dimotakis, P. E. & Brown, G. L. 1976 The mixing layer at high Reynolds number: large-structure dynamics and entrainment. J. Fluid Mech. 78 (3), 535560.10.1017/S0022112076002590Google Scholar
Eidson, T. M. 1985 Numerical simulation of the turbulent Rayleigh–Bénard problem using subgrid modelling. J. Fluid Mech. 158, 245268.10.1017/S0022112085002634Google Scholar
Fiscaletti, D., Attili, A., Bisetti, F. & Elsinga, G. E. 2016 Scale interactions in a mixing layer–the role of the large-scale gradients. J. Fluid Mech. 791, 154173.10.1017/jfm.2016.53Google Scholar
Germano, M., Piomelli, U., Moin, P. & Cabot, W. H. 1991 A dynamic subgrid-scale eddy viscosity model. Phys. Fluids 3 (7), 17601765.10.1063/1.857955Google Scholar
Hill, D. J., Pantano, C. & Pullin, D. I. 2006 Large-eddy simulation and multiscale modelling of a Richtmyer–Meshkov instability with reshock. J. Fluid Mech. 557, 2961.10.1017/S0022112006009475Google Scholar
Ho, C.-M. & Huang, L.-S. 1982 Subharmonics and vortex merging in mixing layers. J. Fluid Mech. 119, 443473.10.1017/S0022112082001438Google Scholar
Huang, L.-S. & Ho, C.-M. 1990 Small-scale transition in a plane mixing layer. J. Fluid Mech. 210, 475500.10.1017/S0022112090001379Google Scholar
Jahanbakhshi, R. & Madnia, C. K. 2016 Entrainment in a compressible turbulent shear layer. J. Fluid Mech. 797, 564603.10.1017/jfm.2016.296Google Scholar
Karasso, P. S. & Mungal, M. G. 1996 Scalar mixing and reaction in plane liquid shear layers. J. Fluid Mech. 323, 2363.10.1017/S0022112096000833Google Scholar
Konrad, J. H.1976 An experimental investigation of mixing in two-dimensional shear flows with applications to diffusion limited chemical reactions. PhD thesis, California Institute of Technology.Google Scholar
Koochesfahani, M. M. & Dimotakis, P. E. 1986 Mixing and chemical reactions in a turbulent liquid mixing layer. J. Fluid Mech. 170, 83112.10.1017/S0022112086000812Google Scholar
Lesieur, M. & Metais, O. 1996 New trends in large-eddy simulations of turbulence. Annu. Rev. Fluid Mech. 28 (1), 4582.10.1146/annurev.fl.28.010196.000401Google Scholar
Liepmann, H. W. & Laufer, J.1947 Investigations of free turbulent mixing. NACA Technical Note No. 1257.Google Scholar
Lilly, D. K.1966a On the application of the eddy viscosity concept in the inertial sub-range of turbulence. NCAR Manuscript No. 123.Google Scholar
Lilly, D. K.1966b The representation of small-scale turbulence in numerical simulation experiments. NCAR Manuscript No. 281.Google Scholar
Lilly, D. K. 1992 A proposed modification of the germano subgrid-scale closure method. Phys. Fluids 4 (3), 633635.10.1063/1.858280Google Scholar
Lin, S. J. & Corcos, G. M. 1984 The mixing layer: deterministic models of a turbulent flow. Part 3. The effect of plane strain on the dynamics of streamwise vortices. J. Fluid Mech. 141, 139178.10.1017/S0022112084000781Google Scholar
Matheou, G. & Bowman, K. W. 2016 A recycling method for the large-eddy simulation of plumes in the atmospheric boundary layer. Environ. Fluid Mech. 16 (1), 6985.10.1007/s10652-015-9413-4Google Scholar
Matheou, G. & Chung, D. 2014 Large-eddy simulation of stratified turbulence. Part II. Application of the stretched-vortex model to the atmospheric boundary layer. J. Atmos. Sci. 71 (12), 44394460.10.1175/JAS-D-13-0306.1Google Scholar
Matheou, G., Chung, D., Nuijens, L., Stevens, B. & Teixeira, J. 2011 On the fidelity of large-eddy simulation of shallow precipitating cumulus convection. Mon. Weath. Rev. 139 (9), 29182939.10.1175/2011MWR3599.1Google Scholar
Matheou, G. & Dimotakis, P. E. 2016 Scalar excursions in large-eddy simulations. J. Comput. Phys. 327, 97120.10.1016/j.jcp.2016.08.035Google Scholar
Mattner, T. W. 2011 Large-eddy simulations of turbulent mixing layers using the stretched-vortex model. J. Fluid Mech. 671, 507534.10.1017/S002211201000580XGoogle Scholar
McMullan, W. A. & Garrett, S. J. 2016 Initial condition effects on large scale structure in numerical simulations of plane mixing layers. Phys. Fluids 28 (1), 015111.10.1063/1.4939835Google Scholar
Meneveau, C., Lund, T. S. & Cabot, W. H. 1996 A lagrangian dynamic subgrid-scale model of turbulence. J. Fluid Mech. 319, 353385.10.1017/S0022112096007379Google Scholar
Métais, O. & Lesieur, M. 1992 Spectral large-eddy simulation of isotropic and stably stratified turbulence. J. Fluid Mech. 239, 157194.10.1017/S0022112092004361Google Scholar
Michalke, A. 1964 On the inviscid instability of the hyperbolictangent velocity profile. J. Fluid Mech. 19 (4), 543556.10.1017/S0022112064000908Google Scholar
Misra, A. & Pullin, D. I. 1997 A vortex-based subgrid stress model for large-eddy simulation. Phys. Fluids 9 (8), 24432454.10.1063/1.869361Google Scholar
Moin, P. & Kim, J. 1982 Numerical investigation of turbulent channel flow. J. Fluid Mech. 118, 341377.10.1017/S0022112082001116Google Scholar
Morinishi, Y., Lund, T. S., Vasilyev, O. V. & Moin, P. 1998 Fully conservative higher order finite difference schemes for incompressible flow. J. Comput. Phys. 143 (1), 90124.10.1006/jcph.1998.5962Google Scholar
Moser, R. D. & Rogers, M. M. 1993 The three-dimensional evolution of a plane mixing layer: pairing and transition to turbulence. J. Fluid Mech. 247 (1), 275320.10.1017/S0022112093000473Google Scholar
Mungal, M. G. & Dimotakis, P. E. 1984 Mixing and combustion with low heat release in a turbulent shear layer. J. Fluid Mech. 148, 349382.10.1017/S002211208400238XGoogle Scholar
Oboukhov, A. M. 1949 Structure of the temperature field in turbulent flows. Isv. Geogr. Geophys. Ser. 13, 5869.Google Scholar
Oster, D. & Wygnanski, I. 1982 The forced mixing layer between parallel streams. J. Fluid Mech. 123, 91130.10.1017/S0022112082002973Google Scholar
Oster, D., Wygnanski, I., Dziomba, B. & Fiedler, H. 1978 On the effect of initial conditions on the two dimensional turbulent mixing layer. In Structure and Mechanisms of Turbulence I, pp. 4864. Springer.10.1007/3-540-08765-6_5Google Scholar
Pantano, C. & Sarkar, S. 2002 A study of compressibility effects in the high-speed turbulent shear layer using direct simulation. J. Fluid Mech. 451, 329371.10.1017/S0022112001006978Google Scholar
Protter, M. H. & Weinberger, H. F. 2012 Maximum Principles in Differential Equations. Springer.Google Scholar
Pullin, D. I. 2000 A vortex-based model for the subgrid flux of a passive scalar. Phys. Fluids 12 (9), 23112319.10.1063/1.1287512Google Scholar
Pullin, D. I. & Lundgren, T. S. 2001 Axial motion and scalar transport in stretched spiral vortices. Phys. Fluids 13 (9), 25532563.10.1063/1.1388207Google Scholar
Pullin, D. I. & Saffman, P. G. 1994 Reynolds stresses and one-dimensional spectra for a vortex model of homogeneous anisotropic turbulence. Phys. Fluids 6 (5), 17871796.10.1063/1.868240Google Scholar
Pullin, D. I. & Saffman, P. G. 1998 Vortex dynamics in turbulence. Annu. Rev. Fluid Mech. 30 (1), 3151.10.1146/annurev.fluid.30.1.31Google Scholar
Riley, J. J. & Metcalfe, R. W.1980 Direct numerical simulation of a perturbed, turbulent mixing layer. AIAA 18th Aerospace Sciences Meeting. AIAA Paper 80–0274.Google Scholar
Rogers, M. M. & Moser, R. D. 1994 Direct simulation of a self-similar turbulent mixing layer. Phys. Fluids 6 (2), 903923.10.1063/1.868325Google Scholar
Roshko, A. 1976 Structure of turbulent shear flows: a new look. AIAA J. 14 (10), 13491357.10.2514/3.61477Google Scholar
Schowalter, D. G., Van Van Atta, C. W. & Lasheras, J. C. 1994 A study of streamwise vortex structure in a stratified shear layer. J. Fluid Mech. 281, 247291.10.1017/S0022112094003101Google Scholar
Schumann, U. 1985 Algorithms for direct numerical simulation of shear-periodic turbulence. In Ninth International Conference on Numerical Methods in Fluid Dynamics, pp. 492496. Springer.10.1007/3-540-13917-6_187Google Scholar
Sharan, N.2016 Time-stable high-order finite difference methods for overset grids. PhD thesis, University of Illinois at Urbana-Champaign.Google Scholar
Sharan, N., Matheou, G. & Dimotakis, P. E. 2018a Mixing, scalar boundedness, and numerical dissipation in large-eddy simulations. J. Comput. Phys. 369, 148172.10.1016/j.jcp.2018.05.005Google Scholar
Sharan, N., Pantano, C. & Bodony, D. J. 2018b Time-stable overset grid method for hyperbolic problems using summation-by-parts operators. J. Comput. Phys. 361, 199230.10.1016/j.jcp.2018.01.049Google Scholar
Shu, C.-W. & Osher, S. 1988 Efficient implementation of essentially non-oscillatory shock-capturing schemes. J. Comput. Phys. 77 (2), 439471.10.1016/0021-9991(88)90177-5Google Scholar
Slessor, M. D., Zhuang, M. & Dimotakis, P. E. 2000 Turbulent shear-layer mixing: growth-rate compressibility scaling. J. Fluid Mech. 414, 3545.10.1017/S0022112099006977Google Scholar
Slessor, M. D., Bond, C. L. & Dimotakis, P. E. 1998 Turbulent shear-layer mixing at high Reynolds numbers: effects of inflow conditions. J. Fluid Mech. 376, 115138.10.1017/S0022112098002857Google Scholar
Smagorinsky, J. 1963 General circulation experiments with the primitive equations: I. The basic experiment. Mon. Weath. Rev. 91 (3), 99164.10.1175/1520-0493(1963)091<0099:GCEWTP>2.3.CO;22.3.CO;2>Google Scholar
Voelkl, T., Pullin, D. I. & Chan, D. C. 2000 A physical-space version of the stretched-vortex subgrid-stress model for large-eddy simulation. Phys. Fluids 12 (7), 18101825.10.1063/1.870429Google Scholar
Wygnanski, I. & Fiedler, H. E. 1970 The two-dimensional mixing region. J. Fluid Mech. 41 (2), 327361.10.1017/S0022112070000630Google Scholar