Log-Poisson cascade description of turbulent velocity-gradient statistics

The Log-Poisson phenomenological description of the turbulent energy cascade is evoked to discuss high-order statistics of velocity derivatives and the mapping between their probability distribution functions at different Reynolds numbers. The striking confirmation of theoretical predictions suggest...

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Veröffentlicht in:Physical review. E, Statistical, nonlinear, and soft matter physics Statistical, nonlinear, and soft matter physics, 2009-09, Vol.80 (3 Pt 2), p.036311-036311, Article 036311
Hauptverfasser: Kholmyansky, M, Moriconi, L, Pereira, R M, Tsinober, A
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Sprache:eng
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Zusammenfassung:The Log-Poisson phenomenological description of the turbulent energy cascade is evoked to discuss high-order statistics of velocity derivatives and the mapping between their probability distribution functions at different Reynolds numbers. The striking confirmation of theoretical predictions suggests that numerical solutions of the flow obtained at low/moderate Reynolds numbers can play an important quantitative role in the analysis of experimental high Reynolds number phenomena, where small scales fluctuations are in general inaccessible from direct numerical simulations.
ISSN:1539-3755
1550-2376
DOI:10.1103/PhysRevE.80.036311