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Gradient trajectory analysis of a scalar field with external intermittency

Published online by Cambridge University Press:  10 May 2009

JUAN PEDRO MELLADO*
Affiliation:
Institut für Technische Verbrennung, RWTH Aachen University, Templergrabenst. 64, 52056 Aachen, Germany
LIPO WANG
Affiliation:
Institut für Technische Verbrennung, RWTH Aachen University, Templergrabenst. 64, 52056 Aachen, Germany
NORBERT PETERS
Affiliation:
Institut für Technische Verbrennung, RWTH Aachen University, Templergrabenst. 64, 52056 Aachen, Germany
*
Email address for correspondence: [email protected]

Abstract

The passive scalar field of a temporally evolving shear layer is investigated using gradient trajectories as a means to analyse the scalar probability density function and the conditional scalar dissipation rate in the presence of external intermittency. These results are of significance for turbulent combustion, where improved predictions of the statistics of the conditional dissipation rate are needed in several models. First, the variation of the conventional first and second moments of the conditional dissipation rate across the layer is quantitatively documented in detail. A strong dependence of the conditional dissipation rate on the lateral position and on the conditioning value of the scalar is observed. The dependence on the transverse distance to the centre-plane partially explains the double-hump profile usually reported when this dependence is ignored. The variation with the scalar observed in the ratio between the second and first moments would invalidate certain assumptions commonly done in turbulent combustion. It is also seen that conditioning on the scalar does not reduce the fluctuation of the dissipation rate with respect to unconditional values. Next, the role of external intermittency in these results is investigated. For that purpose, the flow is partitioned into different zones based on different types of gradient trajectories passing through each point, thereby introducing non-local information in comparison with the standard turbulent/non-turbulent separation based on the conventional intermittency function. In addition to the homogeneous outer regions, three zones are identified: a turbulent zone, a turbulence interface and quasi-laminar diffusion layers. The relative contribution from each of these zones to the conventional intermittency factor is reported. The statistics are then conditioned on each of these zones, and the spatial variation of the scalar distribution and of the conditional scalar dissipation rate is explained in terms of the observed zonal statistics. For the Reynolds numbers of the present simulation, between 1500 and 3000 based on the vorticity thickness and the velocity difference, and a Schmidt number equal to 1, it results that the major contribution to both statistics is due to the turbulence interfaces. At the same time, the turbulent zone shows a distinct behaviour, being approximately homogeneous but anisotropic.

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Papers
Copyright
Copyright © Cambridge University Press 2009

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References

REFERENCES

Anselmet, F., Djeridi, H. & Furlachier, L. 1994 Joint statistics of a passive scalar and its dissipation in turbulent flows. J. Fluid Mech. 280, 173197.CrossRefGoogle Scholar
Antonia, R. A. 1981 Conditional sampling in turbulence measurements. Annu. Rev. Fluid Mech. 13, 131156.CrossRefGoogle Scholar
Bilger, R. W. 1993 Conditional moment closure for turbulent reacting flow. Phys. Fluids 5 (2), 436444.CrossRefGoogle Scholar
Bilger, R. W. 2000 Future progress in turbulent combustion research. Prog. Energy Combust. Sci. 26, 367380.CrossRefGoogle Scholar
Bisset, D. K., Hunt, J. C. R. & Rogers, M. M. 2002 The turbulent/non-turbulent interface bounding a far wake. J. Fluid Mech. 451, 383410.CrossRefGoogle Scholar
Carpenter, M. H., Gottlieb, D. & Abarbanel, S. 1993 The stability of numerical boundary treatments for compact high-order finite-difference schemes. J. Comput. Phys. 108, 272295.CrossRefGoogle Scholar
Chen, Y. C. & Mansour, M. S. 1997 Measurements of scalar dissipation in turbulent hydrogen diffusion flames and some implications on combustion modelling. Combust. Sci. Technol. 126, 291313.CrossRefGoogle Scholar
Cook, A. W., Riley, J. J. & Kosály, G. 1997 A laminar flamelet approach to subgrid-scale chemistry in turbulent flows. Combust. Flame 109, 332341.CrossRefGoogle Scholar
Corrsin, S. & Kistler, A. L. 1955 Free-stream boundaries of turbulent flows. Tech Rep. 1244. NACA.Google 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.CrossRefGoogle Scholar
Dimotakis, P. E. 2000 The mixing transition in turbulent flows. J. Fluid Mech. 409, 6998.CrossRefGoogle Scholar
Dimotakis, P. E. 2005 Turbulent mixing. Annu. Rev. Fluid Mech. 37, 329356.CrossRefGoogle Scholar
Effelsberg, E. & Peters, N. 1983 A composite model for the conserved scalar PDF. Combust. Flame 50, 351360.CrossRefGoogle Scholar
Effelsberg, E. & Peters, N. 1988 Scalar dissipation rates in turbulent jets and jet diffusion flames. In Twenty-Second Symp. (Intl) on Combustion. Seatle, USA.Google Scholar
Erlebacher, G., Hussaini, M. Y., Kreiss, H. O. & Sarkar, S. 1990 The analysis and simulation of compressible turbulence. Theor. Comput. Fluid Dyn. 2, 7395.CrossRefGoogle Scholar
Eswaran, V. & Pope, S. B. 1988 Direct numerical simulations of the turbulent mixing of a passive scalar. Phys. Fluids 31 (3), 506520.CrossRefGoogle Scholar
Hawkes, E. R., Sankaran, R., Sutherland, J. C. & Chen, J. H. 2007 Scalar mixing in direct numerical simulations of temporally evolving plane jet flames with skeletal CO/H2 kinetics. Proc. Combust. Inst. 31, 16331640.CrossRefGoogle Scholar
Holzner, M., Liberzon, A., Guala, M., Tsinober, A. & Kinzelbach, W. 2006 Generalized detection of a turbulent front generated by an oscillating grid. Exp. Fluids 41, 711719.CrossRefGoogle Scholar
Holzner, M., Liberzon, A., Nikitin, N., Kinzelbach, W., Lüthi, B. & Tsinober, A. 2008 A Langrangian investigation of the small-scale features of turbulent entrainment through particle tracking and direct numerical simulation. J. Fluid Mech. 598, 465475.CrossRefGoogle Scholar
Holzner, M., Liberzon, A., Nikitin, N., Kinzelbach, W. & Tsinober, A. 2007 Small-scale aspects of flows in proximity of the turbulent/nonturbulent interface. Phys. Fluids 19, 071702.CrossRefGoogle Scholar
Hunt, J. C. R., Eames, I. & Westerweel, J. 2006 Mechanics of inhomogeneous turbulence and interfacial layers. J. Fluid Mech. 554, 499519.CrossRefGoogle Scholar
Jayesh, & Warhaft, Z. 1992 Probability distribution, conditional dissipation and transport of passive temperature fluctuations in grid-generated turbulence. Phys. Fluids A 4 (10), 22922307.CrossRefGoogle Scholar
Kovasznay, L. S. G., Kibens, V. & Blackwelder, R. F. 1970 Large-scale motion in the intermittent region of a turbulent boundary layer. J. Fluid Mech. 41, 283325.CrossRefGoogle Scholar
Kravchenko, A. G. & Moin, P. 1997 On the effect of numerical errors in large-eddy simulations of turbulent flows. J. Comput. Phys. 131, 310322.CrossRefGoogle Scholar
Kushnir, D., Schumacher, J. & Brandt, A. 2006 Geometry of intensive scalar dissipation events in turbulence. Phys. Rev. Lett. 97 (124502).CrossRefGoogle ScholarPubMed
LaRue, J. C. & Libby, P. A. 1976 Statistical properties of the interface in the turbulent wake of a heated cylinder. Phys. Fluids 19 (12), 18641875.CrossRefGoogle Scholar
Lele, S. K. 1992 Compact finite difference schemes with spectral-like resolution. J. Comput. Phys. 103, 1642.CrossRefGoogle Scholar
Libby, P. A. & Williams, F. A., ed. 1994 Turbulent Reacting Flows. Academic.Google Scholar
Markides, C. N. & Mastorakos, E. 2006 Measurements of the statistical distribution of the scalar dissipation rate in turbulent axisymmetric plumes. In Turbulence, Heat and Mass Transfer (ed. Nagano, Y., Hanjalić, K. & Jakirlić, S.), vol. 5, pp. 120. Begall House Inc.Google Scholar
Mathew, J. & Basu, A. J. 2002 Some characteristics of entrainment at a cylindrical turbulence boundary. Phys. Fluids 14 (7), 20652072.CrossRefGoogle Scholar
Mell, W. E., Nilsen, V., Kosály, G. & Riley, J. J. 1994 Investigation of closure models for nonpremixed turbulent reacting flows. Phys. Fluids 6 (3), 13311356.CrossRefGoogle Scholar
Mellado, J. P., Friedrich, R. & Sarkar, S. 2007 Modelling of the filtered heat release for large eddy simulation of compressible infinitely fast reacting flows. Proc. Combust. Inst. 31, 16911699.CrossRefGoogle Scholar
Mi, J. 2006 Correlation between non-Gaussian statistics of a scalar and its dissipation rate in turbulent flows. Phys. Rev. E 74 (016301).CrossRefGoogle ScholarPubMed
Mi, J. & Antonia, R. A. 1995 Joint statistics between temperature and its dissipation rate components in a round jet. Phys. Fluids 7 (7), 16651673.CrossRefGoogle Scholar
O'Brien, E. E. & Jiang, T. 1991 The conditional dissipation rate of an initially binary scalar in homogeneous turbulence. Phys. Fluids A 3 (12), 31213123.CrossRefGoogle Scholar
Pantano, C. 2004 Direct simulation of nonpremixed flame extinction in a methane–air jet with reduced chemistry. J. Fluid Mech. 514, 231270.CrossRefGoogle 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.CrossRefGoogle Scholar
Pantano, C., Sarkar, S. & Williams, F. A. 2003 Mixing of a conserved scalar in a turbulent reacting shear layer. J. Fluid Mech. 481, 291328.CrossRefGoogle Scholar
Peters, N. 2000 Turbulent Combustion. Cambridge University Press.CrossRefGoogle Scholar
Peters, N. & Trouillet, P. 2002 On the role of quasi-one-dimensional dissipation layers in turbulent scalar mixing. In Annual Research Briefs, pp. 2740. Center for Turbulence Research. Stanford University.Google Scholar
Peters, N. & Wang, L. 2007 The central role of scalar dissipation rate in nonpremixed combustion. In Proc. Fifth US Combustion Meeting. San Diego, USA.Google Scholar
Picket, L. M. & Ghandhi, J. B. 2002 Passive scalar mixing in a planar shear layer with laminar and turbulent inlet conditions. Phys. Fluids 14 (3), 985998.CrossRefGoogle Scholar
Pitsch, H., Chen, M. & Peters, N. 1998 Unsteady flamelet modeling of turbulent hydrogen-air difussion flames. Twenty-Seventh Symp. (Intl) on Combustion. Boulder, USA.Google Scholar
Rogers, M. M. & Moser, R. D. 1994 Direct simulation of a self-similar turbulent mixing layer. Phys. Fluids A 6 (2), 903923.CrossRefGoogle Scholar
Sreenivasan, K. R. & Antonia, R. A. 1997 The phenomenology of small-scale turbulence. Annu. Rev. Fluid Mech. 29, 435472.CrossRefGoogle Scholar
Sreenivasan, K. R., Ramshankar, R. & Meneveau, C. 1989 Mixing, entrainment and fractal dimensions of surfaces in turbulent flows. Proc. R. Soc. Lond. A 421, 79108.Google Scholar
Stanley, S. A., Sarkar, S. & Mellado, J. P. 2002 A study of the flow-field evolution and mixing in a planar turbulent jet using direct numerical simulation. J. Fluid Mech. 450, 377407.CrossRefGoogle Scholar
Starner, S. H., Bilger, R. W., Long, M. B., Frank, J. H. & Marran, D. F. 1997 Scalar dissipation measurements in turbulent jet diffusion flames of air diluted methane and hydrogen. Combust. Sci. Technol. 129, 141163.CrossRefGoogle Scholar
Su, L. K. & Clemens, N. T. 2003 The structure of fine-scale mixing in gas-phase planar turbulent jets. J. Fluid Mech. 488, 129.CrossRefGoogle Scholar
Thompson, K. W. 1990 Time-dependent boundary conditions for hyperbolic systems II. J. Comput. Phys. 89, 439461.CrossRefGoogle Scholar
Tong, C. & Warhaft, Z. 1995 Passive scalar dispersion and mixing in a turbulent jet. J. Fluid Mech. 292, 138.CrossRefGoogle Scholar
Townsend, A. A. 1948 Local isotropy in the turbulent wake of a cylinder. Aust. J. Sci. Res. A 1 (2), 161174.Google Scholar
Townsend, A. A. 1976 The Structure of Turbulent Shear Flow. Cambridge University Press.Google Scholar
Vedula, P., Yeung, P. K. & Fox, R. O. 2001 Dynamics of scalar dissipation in isotropic turbulence: a numerical and modeling study. J. Fluid Mech. 433, 2960.CrossRefGoogle Scholar
Wang, L., Chen, S. & Brasseur, J. G. 1999 Examination of hypothesis in the Kolmogorov refined turbulence theory through high-resolution simulations. Part 2. Passive scalar field. J. Fluid Mech. 400, 163.CrossRefGoogle Scholar
Wang, L. & Peters, N. 2006 The length-scale distribution function of the distance between extremal points in passive scalar turbulence. J. Fluid Mech. 554, 457475.CrossRefGoogle Scholar
Warhaft, Z. 2000 Passive scalars in turbulent flows. Annu. Rev. Fluid Mech. 32, 203240.CrossRefGoogle Scholar
Westerweel, J., Fukushima, C., Perdersen, J. M. & Hunt, J. S. R. 2005 Mechanics of the turbulent–nonturbulent interface of a jet. Phys. Rev. Lett. 95 (174501), 14.Google ScholarPubMed
Westerweel, J., Hofmann, T., Fukushima, C. & Hunt, J. C. R. 2002 The turbulent/non-turbulent interface at the outer boundary of a self-similar jet. Exp. Fluids 33, 873878.CrossRefGoogle Scholar
Williamson, J. H. 1980 Low-storage Runge–Kutta schemes. J. Comput. Phys. 35, 4856.CrossRefGoogle Scholar