Velocity difference statistics in turbulence
Sunghwan Jung, Harry L. Swinney

TL;DR
This paper unifies two approaches explaining non-Gaussian velocity difference PDFs in turbulence, applies the combined method to Couette-Taylor data, and determines subsystem size, revealing a log-normal distribution of the intensive parameter.
Contribution
It unifies Castaing and Beck-Cohen methods for turbulence velocity PDFs and introduces a way to determine subsystem size in the Beck-Cohen approach.
Findings
The combined approach fits experimental turbulence data well.
Subsystem size can be determined within the Beck-Cohen framework.
The intensive parameter follows a log-normal distribution.
Abstract
We unify two approaches that have been taken to explain the non-Gaussian probability distribution functions (PDFs) obtained in measurements of longitudinal velocity differences in turbulence, and we apply our approach to Couette-Taylor turbulence data. The first approach we consider was developed by Castaing and coworkers, who obtained the non-Gaussian velocity difference PDF from a superposition of Gaussian distributions for subsystems that have a particular energy dissipation rate at a fixed length scale [Castaing et al., {\it Physica D} {\bf 46}, 177 (1990)]. Another approach was proposed by Beck and Cohen, who showed that the observed PDFs can be obtained from a superposition of Gaussian velocity difference PDFs in subsystems conditioned on the value of an intensive variable (inverse ``effective temperature'') in each subsystem [Beck and Cohen, {\it Physica A} {\bf 322}, 267…
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