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arxiv: physics/0310008 · v1 · submitted 2003-10-01 · ⚛️ physics.flu-dyn · physics.data-an

Most singular vortex structures in fully developed turbulence

classification ⚛️ physics.flu-dyn physics.data-an
keywords structuresalphacompareddatadistributionepsilonexperimentalintense
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Using high Reynolds number experimental data, we search for most dissipative, most intense structures. These structures possess a scaling predicted by log-Poisson model for the dissipation field $\epsilon_r$. The probability distribution function for the exponents $\alpha$, $\epsilon_r\sim e^{\alpha a}$, has been constructed, and compared with Poisson distribution. These new experimental data suggest that the most intense structures have co-dimension less than 2. The log-Poisson statistics is compared with log-binomial which follows from the random $\beta$-model.

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