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Probing turbulence intermittency via autoregressive moving-average models

Davide Faranda, Bérengère Dubrulle, François Daviaud, and Flavio Maria Emanuele Pons
Phys. Rev. E 90, 061001(R) – Published 3 December 2014

Abstract

We suggest an approach to probing intermittency corrections to the Kolmogorov law in turbulent flows based on the autoregressive moving-average modeling of turbulent time series. We introduce an index Υ that measures the distance from a Kolmogorov-Obukhov model in the autoregressive moving-average model space. Applying our analysis to particle image velocimetry and laser Doppler velocimetry measurements in a von Kármán swirling flow, we show that Υ is proportional to traditional intermittency corrections computed from structure functions. Therefore, it provides the same information, using much shorter time series. We conclude that Υ is a suitable index to reconstruct intermittency in experimental turbulent fields.

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  • Received 4 July 2014

DOI:https://doi.org/10.1103/PhysRevE.90.061001

©2014 American Physical Society

Authors & Affiliations

Davide Faranda*, Bérengère Dubrulle, and François Daviaud

  • Laboratoire SPHYNX, Service de Physique de l'Etat Condensé, DSM, CEA Saclay, CNRS URA No. 2464, 91191 Gif-sur-Yvette, France

Flavio Maria Emanuele Pons

  • Department of Statistics, University of Bologna, Via delle Belle Arti 41, 40126 Bologna, Italy

  • *davide.faranda@cea.fr

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Vol. 90, Iss. 6 — December 2014

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