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Dissipation range of the energy spectrum in high Reynolds number turbulence

Dhawal Buaria and Katepalli R. Sreenivasan
Phys. Rev. Fluids 5, 092601(R) – Published 22 September 2020

Abstract

We seek to understand the kinetic energy spectrum in the dissipation range of fully developed turbulence. The data are obtained by direct numerical simulations (DNS) of forced Navier-Stokes equations in a periodic domain, for Taylor-scale Reynolds numbers up to Rλ=650, with excellent small-scale resolution of kmaxη6, and additionally at Rλ=1300 with kmaxη3, where kmax is the maximum resolved wave number and η is the Kolmogorov length scale. We find that for a limited range of wave numbers k past the bottleneck, in the range 0.15kη0.5, the spectra for all Rλ display a universal stretched exponential behavior of the form exp(k2/3), in rough accordance with recent theoretical predictions. In contrast, the stretched exponential fit does not possess a unique exponent in the near dissipation range 1kη4, but one that persistently decreases with increasing Rλ. This region serves as the intermediate dissipation range between the exp(k2/3) region and the far dissipation range kη1 where analytical arguments as well as DNS data with superfine resolution [S. Khurshid et al., Phys. Rev. Fluids 3, 082601 (2018)] suggest a simple exp(kη) dependence. We briefly discuss our results in connection to the multifractal model.

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  • Received 13 April 2020
  • Accepted 26 August 2020

DOI:https://doi.org/10.1103/PhysRevFluids.5.092601

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Open access publication funded by the Max Planck Society.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Fluid DynamicsNonlinear Dynamics

Authors & Affiliations

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

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Vol. 5, Iss. 9 — September 2020

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