 |
Journal articles
Probing turbulence intermittency via autoregressive moving-average models
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.
Cited literature [11 references]
https://hal-cea.archives-ouvertes.fr/cea-01370472
Contributor : Dominique Girard <>
Submitted on : Thursday, September 22, 2016 - 3:57:40 PM
Last modification on : Wednesday, July 1, 2020 - 2:44:04 PM
Contributor : Dominique Girard <>
Submitted on : Thursday, September 22, 2016 - 3:57:40 PM
Last modification on : Wednesday, July 1, 2020 - 2:44:04 PM
File
370.pdf
Files produced by the author(s)