Hostname: page-component-76fb5796d-wq484 Total loading time: 0 Render date: 2024-04-25T22:05:46.663Z Has data issue: false hasContentIssue false

Mixing in turbulent jets: scalar measures and isosurface geometry

Published online by Cambridge University Press:  26 April 2006

Haris J. Catrakis
Affiliation:
Graduate Aeronautical Laboratories, California Institute of Technology, Pasadena, CA 91125, USA
Paul E. Dimotakis
Affiliation:
Graduate Aeronautical Laboratories, California Institute of Technology, Pasadena, CA 91125, USA

Abstract

Experiments have been conducted to investigate mixing and the geometry of scalar isosurfaces in turbulent jets. Specifically, we have obtained high-resolution, high-signal-to-noise-ratio images of the jet-fluid concentration in the far field of round, liquid-phase, turbulent jets, in the Reynolds number range 4.5 × 103Re ≤ 18 × 103, using laser-induced-fluorescence imaging techniques. Analysis of these data indicates that this Reynolds-number range spans a mixing transition in the far field of turbulent jets. This is manifested in the probability-density function of the scalar field, as well as in measures of the scalar isosurfaces. Classical as well as fractal measures of these isosurfaces have been computed, from small to large spatial scales, and are found to be functions of both scalar threshold and Reynolds number. The coverage of level sets of jet-fluid concentration in the two-dimensional images is found to possess a scale-dependent-fractal dimension that increases continuously with increasing scale, from near unity, at the smallest scales, to 2, at the largest scales. The geometry of the scalar isosurfaces is, therefore, more complex than power-law fractal, exhibiting an increasing complexity with increasing scale. This behaviour necessitates a scale-dependent generalization of power-law-fractal geometry. A connection between scale-dependent-fractal geometry and the distribution of scales is established and used to compute the distribution of spatial scales in the flow.

Type
Research Article
Copyright
© 1996 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ashurst, W. T. 1995 A simple illustration of turbulent flame ball growth. Combust. Sci. Technol. 104, 1932.Google Scholar
Bilger, R. W. 1980 Turbulent flows with nonpremixed reactants. In Turbulent Reacting Flows (ed. P. A. Libby & F. A. Williams), pp. 65113. Springer.
Borgas, M. S. 1993 The multifractal lagrangian nature of turbulence. Phil. Trans. R. Soc. Lond. A 342, 379411.Google Scholar
Brandt, P. N., Greimel, R., Guenther, E.& Mattig, W. 1991 Turbulence, fractals, and the solar granulation. In Applying Fractals in Astronomy (ed. A. Heck & J. M. Perdang), pp. 7796. Springer.
Castagnoli, C. & Provenzale, A. 1991 From small-scale fractality to largescale homogeneity: a family of cascading models for the distribution of galaxies. Astro. Astrophys. 246, 634643.Google Scholar
Chilés, J. P. 1988 Fractal and geostatistical methods for modelling of a fracture network. Math. Geol. 20, 631654.Google Scholar
Constantin, P. 1990 Navier-Stokes equations and area of interfaces. Commun. Math. Phys. 129, 241266.Google Scholar
Constantin, P. 1991 Remarks on the Navier-Stokes equations. In New Perspectives in Turbulence (ed. L. Sirovich), pp. 229261. Springer.
Constantin, P. 1994a Geometric statistics in turbulence. SIAM Rev. 36, 7398.Google Scholar
Constantin, P. 1994b Geometric and analytic studies in turbulence. In Trends and Perspectives in Applied Mathematics (ed. L. Sirovich), pp. 2154. Springer.
Constantin, P. & Procaccia, I. 1994 The geometry of turbulent advection: sharp estimates for the dimensions of level sets. Nonlinearity 7, 10451054.CrossRefGoogle Scholar
Constantin, P., Procaccia, I. & Sreenivasan, K. R. 1991 Fractal geometry of isoscalar surfaces in turbulence: theory and experiment. Phys. Rev. Lett. 67, 13791742.Google Scholar
Dimotakis, P. E. 1991 Fractals, dimensional analysis and similarity, and turbulence. Nonlinear Sci. Today #2/91, pp. 1, 2731.Google Scholar
Dimotakis, P. E. 1993 Some issues on turbulent mixing and turbulence. GALCIT Rep. FM93—la.
Dimotakis, P. E., Miake-Lye, R. C. & Papantoniou, D. A. 1983 Structure and dynamics of round turbulent jets. Phys. Fluids 26, 31853192.Google Scholar
Falconer, K. J. 1990 Fractal geometry: Mathematical foundations and applications. Wiley.
Flohr, P. & Olivari, D. 1994 Fractal and multifractal characteristics of a scalar dispersed in a turbulent jet. Physica D 76, 278290.Google Scholar
Gluckman, B. J., Willaime, H. & Gollub, J. P. 1993 Geometry of isothermal and isoconcentration surfaces in thermal turbulence. Phys. Fluids 5, 647661.Google Scholar
Hausdorff, F. 1919 Dimension und äusseres Mass. Math. Ann. 79, 157179.Google Scholar
Kerstein, A. R. 1991 Linear-eddy modelling of turbulent transport. Part V: Geometry of scalar interfaces. Phys. Fluids A 3, 11101114.Google Scholar
Kolmogorov, A. N. & Tihomirov, V. M. 1959 ε-entropy and ε-capacity of sets in functional spaces. Am. Math. Soc. Translations (1961, Section II), 277364.Google Scholar
Kuznetsov, V. R. & Sabel'nikov, V. A. 1990 Turbulence and Combustion, Hemisphere.
Lane-Serff, G. F. 1993 Investigation of the fractal structure of jets and plumes. J. Fluid Mech. 249, 521534.Google Scholar
Mandelbrot, B. B. 1967 How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science 155, 636638.Google Scholar
Mandelbrot, B. B. 1975a On the geometry of homogeneous turbulence, with stress on the fractal dimension of the iso-surfaces of scalars. J. Fluid Mech. 72, 401416.Google Scholar
Mandelbrot, B. B. 1975b Les Objets Fractals: Forme, Hasard et Dimension. Flammarion.
Mandelbrot, B. B. 1977 Fractals, Form, Chance, and Dimension W. H. Freeman & Co.
Mandelbrot, B. B. 1982 The Fractal Geometry of Nature W. H. Freeman & Co.
Mandelbrot, B. B. 1989 Fractal geometry: What is it and what does it do? In Fractals in the Natural Sciences (ed. M. Fleischmann, D. J. Tildesley & R. C. Ball), p. 7. Springer
Mantzaras, J. 1992 Geometrical properties of turbulent premixed flames: comparison between computed and measured quantities. Combust. Sci. Tech. 86, 135162.Google Scholar
Mark, D. M. & Aronson, P. B. 1984 Scale-dependent fractal dimensions of topographic surfaces: an empirical investigation, with applications in geomorphology and computer mapping. Math. Geol. 16, 671683.CrossRefGoogle Scholar
McComb, W. D. 1991 The Physics of Fluid Turbulence Clarendon Press.
Mikhailov, A. S. & Loskutov, A. Y. 1991 Foundations of Synergetics II: Complex Patterns Springer.
Miller, P. L. 1991 Mixing in high Schmidt number turbulent jets. PhD thesis, California Institute of Technolgy.
Miller, P. L. & Dimotakis, P. E. 1991a Stochastic geometric properties of scalar interfaces in turbulent jets. Phys. Fluids A 3, 168177.Google Scholar
Miller, P. L. & Dimotakis, P. E. 1991b Reynolds number dependence of scalar fluctuations in a high Schmidt number turbulent jet. Phys. Fluids A 3, 11561163.Google Scholar
Prasad, R. R. & Sreenivasan, K. R. 1990 Quantitative three-dimensional imaging and the structure of passive scalar fields in fully turbulent flows. J. Fluid Mech. 216, 134.Google Scholar
Procaccia, I., Brandenburg, A., Jensen, M. H. & Vincent, A. 1992 The fractal dimension of isovorticity structures in 3-dimensional turbulence. Europhys. Lett. 19, 183187.Google Scholar
Richardson, L. F. 1961 The problem of contiguity: an appendix of statistics of deadly quarrels. General Systems Yearbook 6, 139187.Google Scholar
Rigaut, J.-P. 1991 Fractals, semi-fractals, and biometry. In Fractals: Non-integral Dimenstions and Applications (ed. G. Cherbit), pp. 151187. Wiley.
Sreenivasan, K. R. 1991 Fractals and Multifractals in Fluid Turbulence. Ann. Rev. Fluid Mech. 23, 539600.Google Scholar
Sreenivasan, K. R. 1994 Fractals in fluid mechanics. Fractals 2, 253263.Google Scholar
Sreenivasan, K. R. & Meneveau, C. 1986 The fractal facets of turbulence. J. Fluid Mech. 173, 357386.Google Scholar
Sreenivasan, K. R., Prasad, R. R., Meneveau, C. & Ramshankar, R. 1989 The fractal geometry of interfaces and the multifractal distribution of dissipation in fully turbulent flows. Pure Appl. Geoph. 131, 4360.Google Scholar
Suzuki, M. 1984 Finite-size scaling for transient similarity and fractals. Prog. Theor. Phys. 71, 13971400.Google Scholar
Takayasu, H. 1982 Differential fractal dimension of random walk and its applications to physical systems. J. Phys. Soc. Japan 51, 30573064.Google Scholar
Takayasu, H. 1992 Fractals in the Physical Sciences Wiley.
Taylor, G. I. 1921 Diffusion by continuous movements. Proc. Lond. Math. Soc. 20, 196212.Google Scholar
Tricot, C. 1995 Curves and Fractal Dimension Springer.
Vicsek, T. 1992 Fractal Growth Phenomena, 2nd Edn. World Scientific.
Vincent, A. & Meneguzzi, M. 1991 The spatial structure and statistical properties of homogeneous turbulence. J. Fluid Mech. 225, 120.Google Scholar
Ware, B. R., Cyr, D., Gorti, S. & Lanni, F. 1983 Electrophoretic and frictional properties of particles in complex media measured by laser light scattering and fluorescence photobleaching recovery. In Measurement of Suspended Particles by Quasi-Elastic Light Scattering, pp. 255289. Wiley.