Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Letter
  • Open Access

Intermittency of turbulent velocity and scalar fields using three-dimensional local averaging

Dhawal Buaria1,2,* and Katepalli R. Sreenivasan1,3

  • 1Tandon School of Engineering, New York University, New York, New York 11201, USA
  • 2Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany
  • 3Department of Physics and the Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA

  • *dhawal.buaria@nyu.edu

Phys. Rev. Fluids 7, L072601 – Published 8 July, 2022

DOI: https://doi.org/10.1103/PhysRevFluids.7.L072601

Abstract

An efficient approach for extracting three-dimensional local averages in spherical subdomains is proposed and applied to study the intermittency of small-scale velocity and scalar fields in direct numerical simulations of isotropic turbulence. We focus on the inertial-range scaling exponents of locally averaged energy dissipation rate, enstrophy, and scalar dissipation rate corresponding to the mixing of a passive scalar θ in the presence of a uniform mean gradient. The Taylor-scale Reynolds number Rλ goes up to 1300, and the Schmidt number Sc up to 512 (albeit at smaller Rλ). The intermittency exponent of the energy dissipation rate is μ≈0.23±0.02, whereas that of enstrophy is slightly larger; trends with Rλ suggest that this will be the case even at extremely large Rλ. The intermittency exponent of the scalar dissipation rate is μθ≈0.35 for Sc=1. These findings are in essential agreement with previously reported results in the literature. We additionally obtain results for high Schmidt numbers and show that μθ decreases monotonically with Sc, either as 1/logSc or a weak power law, suggesting that μθ→0 as Sc→∞, reaffirming recent results on the breakdown of scalar dissipation anomaly in this limit.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (44)

  1. U. Frisch, Turbulence: The Legacy of Kolmogorov (Cambridge University Press, Cambridge, UK, 1995).
  2. K. S. Sreenivasan and R. A. Antonia, The phenomenology of small-scale turbulence, Annu. Rev. Fluid Mech. 29, 435 (1997).
  3. D. K. Wilson, J. C. Wyngaard, and D. I. Havelock, The effect of turbulent intermittency on scattering into an acoustic shadow zone, J. Acoust. Soc. Am. 99, 3393 (1996).
  4. G. Falkovich, A. Fouxon, and M. G. Stepanov, Acceleration of rain initiation by cloud turbulence, Nature (London) 419, 151 (2002).
  5. R. A. Shaw, Particle-turbulence interactions in atmospheric clouds, Annu. Rev. Fluid Mech. 35, 183 (2003).
  6. K. R. Sreenivasan, Possible effects of small-scale intermittency in turbulent reacting flows, Flow, Turbul. Combust. 72, 115 (2004).
  7. P. E. Hamlington, A. Y. Poludnenko, and E. S. Oran, Interactions between turbulence and flames in premixed reacting flows, Phys. Fluids 23, 125111 (2011).
  8. D. Buaria, B. L. Sawford, and P. K. Yeung, Characteristics of backward and forward two-particle relative dispersion in turbulence at different Reynolds numbers, Phys. Fluids 27, 105101 (2015).
  9. A. Tsinober, An Informal Conceptual Introduction to Turbulence (Springer, Berlin, 2009).
  10. C. Meneveau, Lagrangian dynamics and models of the velocity gradient tensor in turbulent flows, Annu. Rev. Fluid Mech. 43, 219 (2011).
  11. A. N. Kolmogorov, A refinement of previous hypotheses concerning the local structure of turbulence in a viscous incompressible fluid at high Reynolds number, J. Fluid Mech. 13, 82 (1962).
  12. A. M. Oboukhov, Some specific features of atmospheric turbulence, J. Fluid Mech. 13, 77 (1962).
  13. L.-P. Wang, S. Chen, J. G. Brasseur, and J. C. Wyngaard, Examination of hypotheses in the Kolmogorov refined turbulence theory through high-resolution simulations. Part 1. Velocity field, J. Fluid Mech. 309, 113 (1996).
  14. K. R. Sreenivasan, R. A. Antonia, and H. Q. Danh, Log-normality of temperature dissipation in a turbulent boundary layer, Phys. Fluids 20, 1238 (1977).
  15. G. Stolovitzky, P. Kailasnath, and K. R. Sreenivasan, Kolmogorov's Refined Similarity Hypotheses, Phys. Rev. Lett. 69, 1178 (1992).
  16. K. P. Iyer, K. R. Sreenivasan, and P. K. Yeung, Refined similarity hypothesis using three-dimensional local averages, Phys. Rev. E 92, 063024 (2015).
  17. J. M. Lawson, E. Bodenschatz, A. N. Knutsen, J. R. Dawson, and N. A. Worth, Direct assessment of Kolmogorov's first refined similarity hypothesis, Phys. Rev. Fluids 4, 022601(R) (2019).
  18. P. K. Yeung and K. Ravikumar, Advancing understanding of turbulence through extreme-scale computation: Intermittency and simulations at large problem sizes, Phys. Rev. Fluids 5, 110517 (2020).
  19. S. Chen, K. R. Sreenivasan, and M. Nelkin, Inertial Range Scalings of Dissipation and Enstrophy in Isotropic Turbulence, Phys. Rev. Lett. 79, 1253 (1997).
  20. D. Buaria, M. P. Clay, K. R. Sreenivasan, and P. K. Yeung, Turbulence is an Ineffective Mixer When Schmidt Numbers are Large, Phys. Rev. Lett. 126, 074501 (2021).
  21. D. Buaria, M. P. Clay, K. R. Sreenivasan, and P. K. Yeung, Small-Scale Isotropy and Ramp-Cliff Structures in Scalar Turbulence, Phys. Rev. Lett. 126, 034504 (2021).
  22. E. D. Siggia, Numerical study of small-scale intermittency in three-dimensional turbulence, J. Fluid Mech. 107, 375 (1981).
  23. M Nelkin, Enstrophy and dissipation must have the same exponents in the high reynolds number limit of fluid turbulence, Phys. Fluids 11, 2202 (1999).
  24. B. W. Zeff, D. D. Lanterman, R. McAllister, R. Roy, E. H. Kostelich, and D. P. Lathrop, Measuring intense rotation and dissipation in turbulent flows, Nature (London) 421, 146 (2003).
  25. D. Buaria, A. Pumir, E. Bodenschatz, and P. K. Yeung, Extreme velocity gradients in turbulent flows, New J. Phys. 21, 043004 (2019).
  26. D. Buaria and A. Pumir, Vorticity-Strain Rate Dynamics and the Smallest Scales of Turbulence, Phys. Rev. Lett. 128, 094501 (2022).
  27. K. R. Sreenivasan and P. Kailasnath, An update on the intermittency exponent in turbulence, Phys. Fluids A: Fluid Dynam. 5, 512 (1993).
  28. R. R. Prasad, C. Meneveau, and K. R. Sreenivasan, Multifractal Nature of the Dissipation Field of Passive Scalars in Fully Turbulent Flows, Phys. Rev. Lett. 61, 74 (1988).
  29. T. Ishihara, T. Gotoh, and Y. Kaneda, Study of high-Reynolds number isotropic turbulence by direct numerical simulations, Ann. Rev. Fluid Mech. 41, 165 (2009).
  30. R. S. Rogallo, Numerical experiments in homogeneous turbulence, NASA Technical Memo 81315 (1981).
  31. D. Buaria and K. R. Sreenivasan, Dissipation range of the energy spectrum in high Reynolds number turbulence, Phys. Rev. Fluids 5, 092601(R) (2020).
  32. D. Buaria, E. Bodenschatz, and A. Pumir, Vortex stretching and enstrophy production in high Reynolds number turbulence, Phys. Rev. Fluids 5, 104602 (2020).
  33. D. Buaria, A. Pumir, and E. Bodenschatz, Generation of intense dissipation in high Reynolds number turbulence, Philos. Trans. R. Soc. A 380, 20210088 (2022).
  34. D. Buaria and K. R. Sreenivasan, Scaling of Acceleration Statistics in High Reynolds Number Turbulence, Phys. Rev. Lett. 128, 234502 (2022).
  35. M. R. Overholt and S. B. Pope, Direct numerical simulation of a passive scalar with imposed mean gradient in isotropic turbulence, Phys. Fluids 8, 3128 (1996).
  36. M. P. Clay, D. Buaria, T. Gotoh, and P. K. Yeung, A dual communicator and dual grid-resolution algorithm for petascale simulations of turbulent mixing at high Schmidt number, Comput. Phys. Commun. 219, 313 (2017).
  37. M. P. Clay, D. Buaria, P. K. Yeung, and T. Gotoh, GPU acceleration of a petascale application for turbulent mixing at high Schmidt number using OpenMP 4.5, Comput. Phys. Commun. 228, 100 (2018).
  38. M. P. Clay, D. Buaria, and P. K. Yeung, Improving scalability and accelerating petascale turbulence simulation using OpenMP, in Proceedings of OpenMP Conference (Stony Brook University, New York, 2017).
  39. G. K. Batchelor, Small-scale variation of convected quantities like temperature in turbulent fluid. 1. General discussion and the case of small conductivity, J. Fluid Mech. 5, 113 (1959).
  40. S. B. Pope, Turbulent Flows (Cambridge University Press, Cambridge, UK, 2000).
  41. D. Buaria, A. Pumir, and E. Bodenschatz, Self-attenuation of extreme events in Navier-Stokes turbulence, Nat. Commun. 11, 5852 (2020).
  42. D. Buaria and A. Pumir, Nonlocal amplification of intense vorticity in turbulent flows, Phys. Rev. Research 3, L042020 (2021).
  43. S. Grossmann, D. Lohse, and A. Reeh, Different intermittency for longitudinal and transversal turbulent fluctuations, Phys. Fluids 9, 3817 (1997).
  44. www.gauss-centre.eu.

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation