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

Universality of extreme events in turbulent flows

Dhawal Buaria1,2,* and Alain Pumir3,2

  • *Contact author: dhawal.buaria@ttu.edu

Phys. Rev. Fluids 10, L042601 – Published 28 April, 2025

DOI: https://doi.org/10.1103/PhysRevFluids.10.L042601

Abstract

The universality of small scales, a cornerstone of turbulence, has been nominally confirmed for low-order mean-field statistics, such as the energy spectrum. However, small scales exhibit strong intermittency, exemplified by formation of extreme events which deviate anomalously from a mean-field description. Here, we investigate the universality of small scales by analyzing extreme events of velocity gradients in different turbulent flows, viz., direct numerical simulations of homogeneous isotropic turbulence, inhomogeneous channel flow, and laboratory measurements in a von Kármán mixing tank. We demonstrate that the scaling exponents of velocity gradient moments, as function of Reynolds number (Re), are universal, in agreement with previous studies at lower Re, and further show that even proportionality constants are universal when considering one moment order as a function of another. Additionally, by comparing various unconditional and conditional statistics across different flows, we demonstrate that the structure of the velocity gradient tensor is also universal. Overall, our findings provide compelling evidence that even extreme events are universal, with profound implications for turbulence theory and modeling.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (54)

  1. A. N. Kolmogorov, The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers, Dokl. Akad. Nauk. SSSR 30, 299 (1941).
  2. H. L. Grant, R. W. Stewart, and A. Moilliet, Turbulence spectra from a tidal channel, J. Fluid Mech. 12, 241 (1962).
  3. S. Saddhoughi and S. V. Veeravalli, Local isotropy in turbulent boundary layers at high Reynolds number, J. Fluid Mech. 268, 333 (1994).
  4. R. M. Kerr, Higher-order derivative correlations and the alignment of small-scale structures in isotropic numerical turbulence, J. Fluid Mech. 153, 31 (1985).
  5. C. van Atta, Local isotropy of the smallest scales of turbulent scalar and velocity fields, Proc. R. Soc. London A 434, 139 (1991).
  6. L. Biferale and I. Procaccia, Anisotropy in turbulent flows and in turbulent transport, Phys. Rep. 414, 43 (2005).
  7. C. Meneveau and K. R. Sreenivasan, The multifractal nature of turbulent energy dissipation, J. Fluid Mech. 224, 429 (1991).
  8. J. Jiménez, A. A. Wray, P. G. Saffman, and R. S. Rogallo, The structure of intense vorticity in isotropic turbulence, J. Fluid Mech. 255, 65 (1993).
  9. T. Ishihara, Y. Kaneda, M. Yokokawa, K. Itakura, and A. Uno, Small-scale statistics in high resolution of numerically isotropic turbulence, J. Fluid Mech. 592, 335 (2007).
  10. D. Buaria, A. Pumir, E. Bodenschatz, and P. K. Yeung, Extreme velocity gradients in turbulent flows, New J. Phys. 21, 043004 (2019).
  11. U. Frisch, Turbulence: The Legacy of Kolmogorov (Cambridge University Press, Cambridge, 1995).
  12. K. R. Sreenivasan and R. A. Antonia, The phenomenology of small-scale turbulence, Annu. Rev. Fluid Mech. 29, 435 (1997).
  13. J. M. Wallace, Twenty years of experimental and direct numerical simulation access to the velocity gradient tensor: What have we learned about turbulence? Phys. Fluids 21, 021301 (2009).
  14. P. Moin and K. Mahesh, Direct numerical simulation: A tool in turbulence research, Annu. Rev. Fluid Mech. 30, 539 (1998).
  15. G. Paladin and A. Vulpiani, Degrees of freedom of turbulence, Phys. Rev. A 35, 1971 (1987).
  16. V. Yakhot and K. R. Sreenivasan, Anomalous scaling of structure functions and dynamic constraints on turbulence simulation, J. Stat. Phys. 121, 823 (2005).
  17. P. K. Yeung, K. R. Sreenivasan, and S. B. Pope, Effects of finite spatial and temporal resolution in direct numerical simulations of incompressible isotropic turbulence, Phys. Rev. Fluids 3, 064603 (2018).
  18. J. Schumacher, J. D. Scheel, D. Krasnov, D. A. Donzis, V. Yakhot, and K. S. Sreenivasan, Small-scale universality in fluid turbulence, Proc. Natl. Acad. Sci. USA 111, 10961 (2014).
  19. P. E. Hamlington, D. Krasnov, T. Boeck, and J. Schumacher, Local dissipation scales and energy dissipation-rate moments in channel flow, J. Fluid Mech. 701, 419 (2012).
  20. W. T. Ashurst, A. R. Kerstein, R. M. Kerr, and C. H. Gibson, Alignment of vorticity and scalar gradient with strain rate in simulated Navier-Stokes turbulence, Phys. Fluids 30, 2343 (1987).
  21. D. Buaria, E. Bodenschatz, and A. Pumir, Vortex stretching and enstrophy production in high Reynolds number turbulence, Phys. Rev. Fluids 5, 104602 (2020).
  22. A. Tsinober, An Informal Conceptual Introduction to Turbulence (Springer, Berlin, 2009).
  23. D. Buaria, A. Pumir, and E. Bodenschatz, Self-attenuation of extreme events in Navier-Stokes turbulence, Nat. Commun. 11, 5852 (2020).
  24. D. Buaria and A. Pumir, Vorticity-strain rate dynamics and the smallest scales of turbulence, Phys. Rev. Lett. 128, 094501 (2022).
  25. A. N. Knutsen, P. Baj, J. M. Lawson, E. Bodenschatz, J. R. Dawson, and N. A. Worth, The inter-scale energy budget in a von Kármán mixing flow, J. Fluid Mech. 895, A11 (2020).
  26. R. Benzi, S. Ciliberto, R. Tripiccione, C. Baudet, F. Massaioli, and S. Succi, Extended self-similarity in turbulent flows, Phys. Rev. E 48, R29 (1993).
  27. D. Buaria and K. R. Sreenivasan, Dissipation range of the energy spectrum in high Reynolds number turbulence, Phys. Rev. Fluids 5, 092601(R) (2020).
  28. D. Buaria and A. Pumir, Nonlocal amplification of intense vorticity in turbulent flows, Phys. Rev. Res. 3, L042020 (2021).
  29. D. Buaria, A. Pumir, and E. Bodenschatz, Generation of intense dissipation in high Reynolds number turbulence, Philos. Trans. R. Soc. A 380, 20210088 (2022).
  30. D. Buaria and K. R. Sreenivasan, Intermittency of turbulent velocity and scalar fields using three-dimensional local averaging, Phys. Rev. Fluids 7, L072601 (2022).
  31. D. Buaria and A. Pumir, Role of pressure in the dynamics of intense velocity gradients in turbulent flows, J. Fluid Mech. 973, A23 (2023).
  32. J. Graham, K. Kanov, X. I. A. Yang, M. Lee, N. Malaya, C. C. Lalescu, R. Burns, G. Eyink, A. Szalay, R. D. Moser, and C. Meneveau, A web services accessible database of turbulent channel flow and its use for testing a new integral wall model for les, J. Turbul. 17, 181 (2016).
  33. X. Shen and Z. Warhaft, The anisotropy of the small scale structure in high Reynolds number turbulent shear flow, Phys. Fluids 12, 2976 (2000).
  34. A. Pumir, H. Xu, and E. D. Siggia, Small-scale anisotropy in turbulent boundary layers, J. Fluid Mech. 804, 5 (2016).
  35. R. Betchov, An inequality concerning the production of vorticity in isotropic turbulence, J. Fluid Mech. 1, 497 (1956).
  36. A. Gylfason, S. Ayyalasomayajula, and Z. Warhaft, Intermittency, pressure and acceleration statistics from hot-wire measurements in wind-tunnel turbulence, J. Fluid Mech. 501, 213 (2004).
  37. As discussed in Appendix B, the third moments are not strictly isotropic and hence using the skewness of just A11 could be misleading.
  38. D. Buaria and K. R. Sreenivasan, Scaling of acceleration statistics in high Reynolds number turbulence, Phys. Rev. Lett. 128, 234502 (2022).
  39. D. Buaria and K. R. Sreenivasan, Lagrangian acceleration and its eulerian decompositions in fully developed turbulence, Phys. Rev. Fluids 8, L032601 (2023).
  40. 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).
  41. See their Fig. 4, where the data points are shifted to identify the same scaling exponents, with flow-dependent prefactors.
  42. D. Buaria and K. R. Sreenivasan, Saturation and multifractality of Lagrangian and Eulerian scaling exponents in three-dimensional turbulence, Phys. Rev. Lett. 131, 204001 (2023).
  43. The precise cause of these minor deviations is not completely clear, but are likely attributable to the weak anisotropy still present at low Reynolds numbers (see Appendix B for discussion).
  44. F. Moisy and J. Jiménez, Geometry and clustering of intense structures in isotropic turbulence, J. Fluid Mech. 513, 111 (2004).
  45. D. Buaria and K. R. Sreenivasan, Forecasting small-scale dynamics of fluid turbulence using deep neural networks, Proc. Natl. Acad. Sci. USA 120, e2305765120 (2023).
  46. A. Pumir and B. I. Shraiman, Persistent small scale anisotropy in homogeneous shear flows, Phys. Rev. Lett. 75, 3114 (1995).
  47. K. Sreenivasan, On local isotropy of passive scalars in turbulent shear flows, Proc. R. Soc. London A 434 (1991).
  48. A. Pumir, Small-scale properties of scalar and velocity differences in three-dimensional turbulence, Phys. Fluids 6, 3974 (1994).
  49. Z. Warhaft, Passive scalars in turbulent flows, Annu. Rev. Fluid Mech. 32, 203 (2000).
  50. 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).
  51. R. S. Rogallo, Numerical experiments in homogeneous turbulence, NASA Tech Memo 81315 (1981).
  52. V. Eswaran and S. B. Pope, An examination of forcing in direct numerical simulations of turbulence, Comput. Fluids 16, 257 (1988).
  53. D. Buaria, J. M. Lawson, and M. Wilczek, Twisting vortex lines regularize Navier-Stokes turbulence, Sci. Adv. 10, eado1969 (2024).
  54. S. B. Pope, Turbulent Flows (Cambridge University Press, Cambridge, 2000).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation