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  • Letter
  • Open Access

Lagrangian acceleration and its Eulerian decompositions in fully developed turbulence

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 8, L032601 – Published 15 March, 2023

DOI: https://doi.org/10.1103/PhysRevFluids.8.L032601

Abstract

We study the properties of various Eulerian contributions to fluid particle acceleration by using well-resolved direct numerical simulations of isotropic turbulence, with the Taylor-scale Reynolds number Rλ in the range 140–1300. The variance of convective acceleration, when normalized by Kolmogorov scales, increases as Rλ, consistent with simple theoretical arguments, but differing from classical Kolmogorov's phenomenology, as well as Lagrangian extension of Eulerian multifractal models. The scaling of the local acceleration is also linear in Rλ to the leading order, but more complex in detail. The strong cancellation between the local and convective acceleration—faithful to the random sweeping hypothesis—results in the variance of the Lagrangian acceleration increasing only as Rλ0.25, as recently shown by Buaria and Sreenivasan [Phys. Rev. Lett. 128, 234502 (2022)]. The acceleration variance is dominated by the irrotational pressure gradient contribution, whose variance essentially follows the Rλ0.25 scaling; the solenoidal viscous contributions are comparatively small and follow Rλ0.13, which is the only acceleration component consistent with multifractal prediction.

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References (47)

  1. A. La Porta, G. A. Voth, A. M. Crawford, J. Alexander, and E. Bodenschatz, Fluid particle accelerations in fully developed turbulence, Nature (London) 409, 1017 (2001).
  2. F. Toschi and E. Bodenschatz, Lagrangian properties of particles in turbulence, Annu. Rev. Fluid Mech. 41, 375 (2009).
  3. N. Stelzenmuller, J. I. Polanco, L. Vignal, I. Vinkovic, and N. Mordant, Lagrangian acceleration statistics in a turbulent channel flow, Phys. Rev. Fluids 2, 054602 (2017).
  4. D. Buaria, A. Pumir, F. Feraco, R. Marino, A. Pouquet, D. Rosenberg, and L. Primavera, Single-particle Lagrangian statistics from direct numerical simulations of rotating-stratified turbulence, Phys. Rev. Fluids 5, 064801 (2020).
  5. J. Bec, L. Biferale, G. Boffetta, A. Celani, M. Cencini, A. Lanotte, S. Musacchio, and F. Toschi, Acceleration statistics of heavy particles in turbulence, J. Fluid Mech. 550, 349 (2006).
  6. B. L. Sawford, Reynolds number effects in Lagrangian stochastic models of turbulent dispersion, Phys. Fluids A 3, 1577 (1991).
  7. J. C. Wyngaard, Atmospheric turbulence, Annu. Rev. Fluid Mech. 24, 205 (1992).
  8. S. B. Pope, Lagrangian PDF methods for turbulent flows, Annu. Rev. Fluid Mech. 26, 23 (1994).
  9. J. D. Wilson and B. L. Sawford, Review of Lagrangian stochastic models for trajectories in the turbulent atmosphere, Boundary-Layer Meteorol. 78, 191 (1996).
  10. A. N. Kolmogorov, The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers, Proc. R. Soc. Lond. A 434, 9 (1991).
  11. A. S. Monin and A. M. Yaglom, Statistical Fluid Mechanics (MIT Press, Cambridge, MA, 1975), Vol. 2.
  12. P. K. Yeung and S. B. Pope, Lagrangian statistics from direct numerical simulations of isotropic turbulence, J. Fluid Mech. 207, 531 (1989).
  13. P. Vedula and P. K. Yeung, Similarity scaling of acceleration and pressure statistics in numerical simulations of isotropic turbulence, Phys. Fluids 11, 1208 (1999).
  14. T. Gotoh and R. S. Rogallo, Intermittency and scaling of pressure at small scales in forced isotropic turbulence, J. Fluid Mech. 396, 257 (1999).
  15. G. A. Voth, A. La Porta, A. M. Crawford, J. Alexander, and E. Bodenschatz, Measurement of particle accelerations in fully developed turbulence, J. Fluid Mech. 469, 121 (2002).
  16. B. L. Sawford, P. K. Yeung, M. S. Borgas, P. Vedula, A. La Porta, A. M. Crawford, and E. Bodenschatz, Conditional and unconditional acceleration statistics in turbulence, Phys. Fluids 15, 3478 (2003).
  17. N. Mordant, E. Lévêque, and J.-F. Pinton, Experimental and numerical study of the Lagrangian dynamics of high Reynolds turbulence, New J. Phys. 6, 116 (2004).
  18. 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).
  19. P. K. Yeung, S. B. Pope, A. G. Lamorgese, and D. A. Donzis, Acceleration and dissipation statistics of numerically simulated isotropic turbulence, Phys. Fluids 18, 065103 (2006).
  20. 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).
  21. D. Buaria and K. R. Sreenivasan, Scaling of Acceleration Statistics in High Reynolds Number Turbulence, Phys. Rev. Lett. 128, 234502 (2022).
  22. M. S. Borgas, The multifractal Lagrangian nature of turbulence, Philos. Trans. R. Soc. A 342, 379 (1993).
  23. L. Biferale, G. Boffetta, A. Celani, B. J. Devenish, A. Lanotte, and F. Toschi, Multifractal Statistics of Lagrangian Velocity and Acceleration in Turbulence, Phys. Rev. Lett. 93, 064502 (2004).
  24. A. Tsinober, P. Vedula, and P. K. Yeung, Random Taylor hypothesis and the behavior of local and convective accelerations in isotropic turbulence, Phys. Fluids 13, 1974 (2001).
  25. A. Liberzon, B. Lüthi, M. Holzner, S. Ott, J. Berg, and J. Mann, On the structure of acceleration in turbulence, Physica D 241, 208 (2012).
  26. T. Ishihara, T. Gotoh, and Y. Kaneda, Study of high-Reynolds number isotropic turbulence by direct numerical simulations, Annu. Rev. Fluid Mech. 41, 165 (2009).
  27. D. Buaria, A. Pumir, E. Bodenschatz, and P. K. Yeung, Extreme velocity gradients in turbulent flows, New J. Phys. 21, 043004 (2019).
  28. R. S. Rogallo, Numerical experiments in homogeneous turbulence, NASA Tech. Memo. 81315 (1981), https://ntrs.nasa.gov/api/citations/19810022965/downloads/19810022965.pdf.
  29. D. Buaria and K. R. Sreenivasan, Dissipation range of the energy spectrum in high Reynolds number turbulence, Phys. Rev. Fluids 5, 092601(R) (2020).
  30. D. Buaria, A. Pumir, and E. Bodenschatz, Self-attenuation of extreme events in Navier-Stokes turbulence, Nat. Commun. 11, 5852 (2020).
  31. D. Buaria and A. Pumir, Nonlocal amplification of intense vorticity in turbulent flows, Phys. Rev. Res. 3, L042020 (2021).
  32. D. Buaria and A. Pumir, Vorticity-Strain Rate Dynamics and the Smallest Scales of Turbulence, Phys. Rev. Lett. 128, 094501 (2022).
  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, Intermittency of turbulent velocity and scalar fields using three-dimensional local averaging, Phys. Rev. Fluids 7, L072601 (2022).
  35. 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).
  36. D. Buaria, P. K. Yeung, and B. L. Sawford, A Lagrangian study of turbulent mixing: forward and backward dispersion of molecular trajectories in isotropic turbulence, J. Fluid Mech. 799, 352 (2016).
  37. D. Buaria and P. K. Yeung, A highly scalable particle tracking algorithm using partitioned global address space (PGAS) programming for extreme-scale turbulence simulations, Comput. Phys. Commun. 221, 246 (2017).
  38. G. K. Batchelor, An Introduction to Fluid Dynamics (Cambridge University Press, Cambridge, UK, 1967).
  39. U. Frisch, Turbulence: The Legacy of Kolmogorov (Cambridge University Press, Cambridge, UK, 1995).
  40. R. Betchov, An inequality concerning the production of vorticity in isotropic turbulence, J. Fluid Mech. 1, 497 (1956).
  41. D. Buaria, E. Bodenschatz, and A. Pumir, Vortex stretching and enstrophy production in high Reynolds number turbulence, Phys. Rev. Fluids 5, 104602 (2020).
  42. K. R. Sreenivasan and C. Meneveau, Singularities of the equations of fluid motion, Phys. Rev. A 38, 6287 (1988).
  43. R. J. Hill and J. M. Wilczak, Pressure structure functions and spectra for locally isotropic turbulence, J. Fluid Mech. 296, 247 (1995).
  44. R. J. Hill, Scaling of acceleration in locally isotropic turbulence, J. Fluid Mech. 452, 361 (2002).
  45. R. H. Kraichnan, Kolmogorov's hypotheses and Eulerian turbulence theory, Phys. Fluids 7, 1723 (1964).
  46. H. Tennekes, Eulerian and Lagrangian time microscales in isotropic turbulence, J. Fluid Mech. 67, 561 (1975).
  47. www.gauss-centre.eu.

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