Wave-number–frequency spectrum for turbulence from a random sweeping hypothesis with mean flow

M. Wilczek and Y. Narita
Phys. Rev. E 86, 066308 – Published 13 December 2012

Abstract

We derive the energy spectrum in wave-number–frequency space for turbulent flows based on Kraichnan’s idealized random sweeping hypothesis with additional mean flow, which yields the instantaneous energy spectrum multiplied by a Gaussian frequency distribution. The model spectrum has two adjustable parameters, the mean flow velocity and the sweeping velocity, and has the property that the power-law index of the wave-number spectrum translates to the frequency spectrum, invariant for arbitrary choices of the mean velocity and sweeping velocity. The model spectrum incorporates both Taylor’s frozen-in flow approximation and the random sweeping approximation in a natural way and can be used to distinguish between these two effects when applied to real time-resolved multipoint turbulence data. Evaluated in real space, its properties with respect to space-time velocity correlations are discussed, and a comparison to the recently introduced elliptic model is drawn.

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  • Received 3 August 2012

DOI:https://doi.org/10.1103/PhysRevE.86.066308

©2012 American Physical Society

Authors & Affiliations

M. Wilczek1,* and Y. Narita2,3

  • 1Institute for Theoretical Physics, University of Münster, Wilhelm-Klemm-Straße 9, Münster D-48149, Germany
  • 2Space Research Institute, Austrian Academy of Sciences, Schmiedlstraße 6, Graz A-8042, Austria
  • 3Institut für Geophysik und extraterrestrische Physik, Technische Universität Braunschweig, Mendelssohnstraße 3, Braunschweig D-38106, Germany

  • *mwilczek@uni-muenster.de

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Issue

Vol. 86, Iss. 6 — December 2012

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