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Journal Articles Physical Review E : Statistical, Nonlinear, and Soft Matter Physics Year : 2014

Probing turbulence intermittency via autoregressive moving-average models

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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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Dates and versions

cea-01370472 , version 1 (22-09-2016)

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Davide Faranda, Bérengère Dubrulle, François Daviaud, Flavio Maria, Emanuele Pons. Probing turbulence intermittency via autoregressive moving-average models. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2014, 90, pp.061001(R). ⟨10.1103/PhysRevE.90.061001⟩. ⟨cea-01370472⟩
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