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Reynolds number scaling of velocity increments in isotropic turbulence

Kartik P. Iyer, Katepalli R. Sreenivasan, and P. K. Yeung
Phys. Rev. E 95, 021101(R) – Published 10 February 2017

Abstract

Using the largest database of isotropic turbulence available to date, generated by the direct numerical simulation (DNS) of the Navier-Stokes equations on an 81923 periodic box, we show that the longitudinal and transverse velocity increments scale identically in the inertial range. By examining the DNS data at several Reynolds numbers, we infer that the contradictory results of the past on the inertial-range universality are artifacts of low Reynolds number and residual anisotropy. We further show that both longitudinal and transverse velocity increments scale on locally averaged dissipation rate, just as postulated by Kolmogorov's refined similarity hypothesis, and that, in isotropic turbulence, a single independent scaling adequately describes fluid turbulence in the inertial range.

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  • Received 30 October 2016
  • Revised 17 January 2017

DOI:https://doi.org/10.1103/PhysRevE.95.021101

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.

Published by the American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Fluid DynamicsStatistical Physics & ThermodynamicsNonlinear Dynamics

Authors & Affiliations

Kartik P. Iyer*

  • Department of Physics and INFN, University of Rome Tor Vergata, Rome 00133, Italy and Department of Mechanical Engineering, New York University, New York 11201, USA

Katepalli R. Sreenivasan

  • Departments of Physics and Mechanical Engineering and the Courant Institute of Mathematical Sciences, New York University, New York 11201, USA

P. K. Yeung

  • Schools of Aerospace Engineering and Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA

  • *kki2@nyu.edu

Article Text

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Issue

Vol. 95, Iss. 2 — February 2017

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