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On Fokker–Planck Equations for Turbulent Reacting Flows. Part 2. Filter Density Function for Large Eddy Simulation

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Abstract

The application of large eddy simulation (LES) to turbulent reacting flow calculations is faced with several closure problems. Suitable parametrizations for filtered reaction rates for instance are hardly available in general. A way to overcome these problems is investigated here. This is done by extending LES equations for filtered velocities and scalars (mass fractions of species and temperature) to equations that involve subgrid scale (SGS) fluctuations. Such equations are called filter density function (FDF) methods because they determine the FDF, which is essentially the probability density function of SGS variables. The FDF model considered involves only three parameters: C 0 that controls the generation of velocity fluctuations and two parameters which determine the relaxation of velocity and scalar fluctuations. The consideration of this model may be seen as the analysis of a limiting case: the implications of the most simple equations for the dynamics of SGS fluctuations are investigated in this way. These equations were proved recently by various simulations. Here, the FDF model is used analytically to improve simpler methods. Existing models for the SGS stress tensor in velocity LES equations and the diffusion coefficient in scalar FDF equations are generalized in this way. The advantages of these models compared to existing ones are pointed out. These investigations provide further evidence for the suitability of the FDF model considered and they provide its parameters. A theoretical value C 0 = 19/12 is derived, which agrees very well with the results of direct numerical simulation. This estimate implies the same value for the universal Kolmogorov constant of the energy spectrum, which is consistent with the results of many measurements. The other two model parameters can be obtained then by dynamic procedures. Therefore, the closure problems of LES equations are overcome in this way such that adjustable parameters are not involved.

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References

  1. Clark, R.A., Ferziger, J.H. and Reynolds, W.C., Evaluation of subgrid-scale models using an accurately simulated turbulent flow. J. Fluid Mech. 91 (1979) 1–16.

    Google Scholar 

  2. Colucci, P.J., Jaberi, F.A., Givi, P. and Pope, S.B., Filtered density function for large eddy simulations of turbulent reactive flows. Phys. Fluids 10 (1998) 499–515.

    Google Scholar 

  3. Du, S., Sawford, B.L., Wilson, J.D. and Wilson, D.J., Estimation of the Kolmogorov constant (C 0) for the Lagrangian structure function, using a second-order Lagrangian model of grid turbulence. Phys. Fluids 7 (1995) 3083–3090.

    Google Scholar 

  4. Forkel, H. and Janicka, J., Large-eddy simulation of a turbulent hydrogen diffusion flame. Flow, Turb. Combust. 65 (2000) 163–175.

    Google Scholar 

  5. Gao, F. and O'Brien, E.E., A large-eddy simulation scheme for turbulent reacting flows. Phys. Fluids A5 (1993) 1282–1284.

    Google Scholar 

  6. Gardiner, C.W., Handbook of Statistical Methods. Springer-Verlag, Berlin (1983).

    Google Scholar 

  7. Gatski, T.B. and Speziale, C.G., On explicit algebraic stress models for complex turbulent flows. J. Fluid Mech. 254 (1993) 59–78.

    Google Scholar 

  8. Gicquel, L.Y.M., Givi, P., Jaberi, F.A. and Pope, S.B., Velocity filtered density function for large eddy simulation of turbulent flows. Phys. Fluids 14 (2002) 1196–1213.

    Google Scholar 

  9. Givi, P., Model-free simulations of turbulent reactive flows. Prog. Energy Combust. Sci. 15 (1989) 1–107.

    Google Scholar 

  10. Heinz, S., Nonlinear Lagrangian equations for turbulent motion and buoyancy in inhomogeneous flows. Phys. Fluids 9 (1997) 703–716.

    Google Scholar 

  11. Heinz, S., Time scales of stratified turbulent flows and relations between second-order closure parameters and flow numbers. Phys. Fluids 10 (1998) 958–973.

    Google Scholar 

  12. Heinz, S. and Roekaerts, D., Reynolds number effects on mixing and reaction in a turbulent pipe flow. Chem. Engrg. Sci. 56 (2001) 3197–3210.

    Google Scholar 

  13. Heinz, S., On Fokker-Planck equations for turbulent reacting flows. Part 1. Probability density function for Reynolds-averaged Navier-Stokes equations. Flow, Turb. Combust. 70 (2003) 115–152.

    Google Scholar 

  14. Heinz, S., Statistical Mechanics of Turbulent Flows. Springer-Verlag, Berlin (2003).

    Google Scholar 

  15. Jaberi, F.A., Colucci, P.J., James, S., Givi, P. and Pope, S.B., Filtered mass density function for large-eddy simulation of turbulent reacting flows. J. Fluid Mech. 401 (1999) 85–121.

    Google Scholar 

  16. Kaltenbach, H.-J., Gerz, T. and Schumann, U., Large-eddy simulation of homogeneous turbulence and diffusion in stably stratified flows. J. Fluid Mech. 280 (1994) 1–40.

    Google Scholar 

  17. Kosović, B., Subgrid-scale modeling for the large-eddy simulation of high-Reynolds number boundary layers. J. Fluid Mech. 336 (1997) 151–182.

    Google Scholar 

  18. Leonard, A., Large-eddy simulation of chaotic convection and beyond. In: 35th AIAA Aerospace Sciences Meeting and Exhibit, AIAA 97–0204, Reno, NV (1997) pp. 1–8.

  19. Lilly, D.K., The representation of small-scale turbulence in numerical simulation of experiments. In: Goldstine, H.H. (ed.), Proceedings of the IBM Scientific Computing Symposium on Environmental Sciences, Yorktown Heights, NY (1967) pp. 195–210.

  20. Liu, S., Menevau, C. and Katz, J., On the properties of similarity subgrid-scale models as deduced from measurements in a turbulent jet. J. Fluid Mech. 275 (1994) 83–119.

    Google Scholar 

  21. Lumley, J.L., Computational modeling of turbulent flows. Adv. Appl. Mech. 18 (1978) 123–175.

    Google Scholar 

  22. Madnia, C.K. and Givi, P., Direct numerical simulation and large eddy simulation of reacting homogeneous turbulence. In: Galperin, B. and Orszag, S.A. (eds.), Large Eddy Simulations of Complex Engineering and Geophysical Flows. Cambridge University Press, Cambridge (1993) pp. 315–346.

    Google Scholar 

  23. Menevau, C. and Katz, J., Scale-invariance and turbulence models for large-eddy simulation. Annu. Rev. Fluid Mech. 32 (2000) 1–32.

    Google Scholar 

  24. Muradoglu, M., Jenny, P., Pope, S.B. and Caughey, D.A. A consistent hybrid finitevolume/ particle method for the PDF equations of turbulent reactive flows. J. Comput. Phys. 154 (1999) 342–371.

    Google Scholar 

  25. Nooren, P.A., Wouters, H.A., Peeters, T.W.J. and Roekaerts, D., Monte Carlo PDF modeling of a turbulent natural-gas diffusion flame. Combust. Theory Modeling 1 (1997) 79–96.

    Google Scholar 

  26. Overholt, M.R. and Pope, S.B., Direct numerical simulation of a passive scalar with imposed mean gradient in isotropic turbulence. Phys. Fluids 8 (1996) 3128–3148.

    Google Scholar 

  27. Pierce, C. and Moin, P., A dynamic model for subgrid-scale variance and dissipation rate of a conserved scalar. Phys. Fluids 10 (1998) 3041–3044.

    Google Scholar 

  28. Piomelli, U., Cabot, W.H., Moin, P. and Lee, S., Subgrid-scale backscatter in turbulent and transitional flows. Phys. Fluids A3 (1991) 1766–1771.

    Google Scholar 

  29. Piomelli, U., Large-eddy simulation: Achievements and challenges. Prog. Aerosp. Sci. 35 (1999) 335–362.

    Google Scholar 

  30. Pope, S.B., A more general effective viscosity hypothesis. J. Fluid Mech. 72 (1975) 331–340.

    Google Scholar 

  31. Pope, S.B., Computations of turbulent combustions: Progress and challenges. In: 23rd Symposium (International) on Combustion, The Combustion Institute, Pittsburgh, PA (1990) pp. 591–612.

    Google Scholar 

  32. Pope, S.B., Lagrangian PDF methods for turbulent flows. Annu. Rev. Fluid Mech. 26 (1994) 23–63.

    Google Scholar 

  33. Pope, S.B., Turbulent Flows. Cambridge University Press, Cambridge (2000).

    Google Scholar 

  34. Réveillon, J. and Vervisch, L., Subgrid scale turbulent micromixing: Dynamic approach. AIAA J. 36 (1998) 336–341.

    Google Scholar 

  35. Risken, H., The Fokker-Planck Equation. Springer-Verlag, Berlin (1984).

    Google Scholar 

  36. Rogers, M.M., Mansour, N.N. and Reynolds, W.C., An algebraic model for the turbulent flux of a passive scalar. J. Fluid Mech. 203 (1989) 77–101.

    Google Scholar 

  37. Sagaut, P., Large Eddy Simulation for Incompressible Flows. Springer-Verlag, New York (2001).

    Google Scholar 

  38. Sawford, B.L., Reynolds number effects in Lagrangian stochastic models of turbulent dispersion. Phys. Fluids A3 (1991) 1577–1586.

    Google Scholar 

  39. Sawford, B.L. and Yeung, P.K., Lagrangian statistics in uniform shear flow: Direct numerical simulation and Lagrangian stochastic models. Phys. Fluids 13 (2001) 2627–2634.

    Google Scholar 

  40. Sreenivasan, K.R., On the universality of the Kolmogorov constant. Phys. Fluids 7 (1995) 2778–2784.

    Google Scholar 

  41. Vreman, B., Geurts, B. and Kuerten, H., Realizability conditions for the turbulent stress tensor in large-eddy simulation. J. Fluid Mech. 278 (1994) 351–362.

    Google Scholar 

  42. Wall, C., Boersma, B.J. and Moin, P., An evaluation of the assumed beta probability density function subgrid-scale model for large eddy simulation of nonpremixed, turbulent combustion with heat realize. Phys. Fluids 12 (2000) 2522–2529.

    Google Scholar 

  43. Winckelmans, G.S., Wray, A.A. and Vasilyev, O.V., Testing of a new mixed model for LES: The Leonard model supplemented by a dynamic Smagorinsky term. In: Proceedings of Summer Program, Center for Turbulence Research, Stanford University and NASA Ames (1998) pp. 367–388.

  44. Wouters, H.A., Nooren, P.A., Peeters, T.W.J. and Roekaerts, D., Simulation of a bluff-body stabilized diffusion flame using second-moment closure and Monte Carlo methods. In: Proceedings Twenty-Sixth Symposium (International) on Combustion. The Combustion Institute, Pittsburgh, PA (1996) pp. 177–185.

    Google Scholar 

  45. Zhou, X.Y. and Pereira, J.C.F., Large eddy simulation (2D) of a reacting plane mixing layer using filtered density function closure. Flow, Turb. Combust. 64 (2000) 279–300.

    Google Scholar 

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Heinz, S. On Fokker–Planck Equations for Turbulent Reacting Flows. Part 2. Filter Density Function for Large Eddy Simulation. Flow, Turbulence and Combustion 70, 153–181 (2003). https://doi.org/10.1023/B:APPL.0000004934.22265.74

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