Literature DB >> 17358947

Statistics of three-dimensional lagrangian turbulence.

Christian Beck1.   

Abstract

We consider a superstatistical model for a Lagrangian tracer particle in a high-Reynolds-number turbulent flow. The analytical model predictions are in excellent agreement with recent experimental data for flow between counter-rotating disks. In particular, the predicted Lagrangian scaling exponents zeta_{j} agree well with the measured exponents reported in H. Xu et al. [Phys. Rev. Lett.10.1103/PhysRevLett.96.114503 96, 114503 (2006)]. The model also correctly predicts the shape of acceleration probability densities, correlation functions, statistical dependencies between components, and explains the fact that enstrophy lags behind dissipation.

Year:  2007        PMID: 17358947     DOI: 10.1103/PhysRevLett.98.064502

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  3 in total

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Journal:  Sci Rep       Date:  2022-07-16       Impact factor: 4.996

2.  Minding impacting events in a model of stochastic variance.

Authors:  Sílvio M Duarte Queirós; Evaldo M F Curado; Fernando D Nobre
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3.  Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer.

Authors:  Guang Li; Wei He; Bo Yang; Hongxiang Yu; Ning Huang; Hans J Herrmann; Jie Zhang
Journal:  Eur Phys J E Soft Matter       Date:  2022-01-24       Impact factor: 1.890

  3 in total

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