Multifractal analysis of fluid particle accelerations in turbulence
T. Arimitsu, N. Arimitsu

TL;DR
This paper derives an analytical probability density function for fluid particle accelerations in turbulence using multifractal analysis with generalized entropy, successfully matching experimental and DNS data at high Reynolds numbers.
Contribution
It introduces a novel analytical PDF based on multifractal analysis with Tsallis or Rényi entropy, explaining experimental and DNS acceleration data in turbulence.
Findings
Derived PDF matches experimental data at Rλ=690
Derived PDF matches DNS data at Rλ=380
Validates multifractal analysis with generalized entropy for turbulence
Abstract
The probability density function (PDF) of accelerations in turbulence is derived analytically with the help of the multifractal analysis based on generalized entropy, i.e., the Tsallis or the R\'{e}nyi entropy. It is shown that the derived PDF explains quite well the one obtained by Bodenschatz et al. in the measurement of fluid particle accelerations in the Lagrangian frame at , and the one by Gotoh et al. in the DNS with the mesh size 1024 at .
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Taxonomy
TopicsHydrology and Drought Analysis · Statistical Mechanics and Entropy · Complex Systems and Time Series Analysis
