Conference on Turbulence and Interactions TI2006 May June Porquerolles France
4 pages
English

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Conference on Turbulence and Interactions TI2006 May June Porquerolles France

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Conference on Turbulence and Interactions TI2006, May 29 - June 2, 2006, Porquerolles, France Statistics at Small Scales in DNS of Turbulence – Dependence on Reynolds Number and Length Scale – Y. Kaneda Department of Computational Science and Engineering, Nagoya University, Nagoya, 464-8603, Japan ?Email: ABSTRACT A review is given on results of data-analysis based on recent high-resolution direct numerical simulations (DNSs) of incompressible turbulence in a periodic box with the number of grid points up to 40963. Emphasis is put on the possible universality of small-scale statistics in turbulence at high Reynolds number, as well as on the dependence of the statistics on the Reynolds number and the length scale. 1 INTRODUCTION Turbulence consists of the so-called ‘eddies' with a wide range of length scale. The statistics of turbulence depends on the length scale as well as the Reynolds number Re. According to the celebrated Kolmogorov hypotheses [1], one may assume that at sufficiently high Re 1 and at sufficiently small scale r such that r L, the statistics is universal in the sense that it is insen- sitive to the detail of boundary conditions and forcing at large scale ? L, where L is the charac- teristic length scale of energy containing eddies. This assumption plays a key role in most modern theories and modeling of turbulence.

  • field

  • uniform magnetic

  • length scale

  • high resolution direct

  • fluid density

  • obeying

  • fluid velocity

  • sufficiently small scale

  • incompressible viscous fluid

  • direct numerical


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Conference on Turbulence and Interactions TI2006, May 29  June 2, 2006, Porquerolles, France
Statistics at Small Scales in DNS of Turbulence – Dependence on Reynolds Number and Length Scale –
Y. Kaneda Department of Computational Science and Engineering, Nagoya University, Nagoya, 4648603, Japan Email: kaneda@cse.nagoyau.ac.jp
ABSTRACT A review is given on results of dataanalysis based on recent highresolution direct numerical simulations 3 (DNSs) of incompressible turbulence in a periodic box with the number of grid points up to4096. Emphasis is put on the possible universality of smallscale statistics in turbulence at high Reynolds number, as well as on the dependence of the statistics on the Reynolds number and the length scale.
1 INTRODUCTIONdirect numerical simulations (DNSs) with em phasis on theRe and scale dependence of the statistics. We use two kinds of DNS data. One is Turbulence consists of the socalled ‘eddies’ withfrom DNSs of almost isotropic turbulence (Sec a wide range of length scale. The statistics oftions 2 and 3), and the other is from DNSs of turbulence depends on the length scale as wellanisotropic turbulence (Section 4). as the Reynolds numberRe. According to the celebrated Kolmogorov hypotheses [1], one may 2ReDEPENDENCE OFSTATISTICS assume that at sufficiently highRe1and at sufficiently small scalersuch thatrL, the statistics is universal in the sense that it is insen Two series of DNSs of incompressible homoge sitive to the detail of boundary conditions and neous turbulence in a periodic box with the num forcing at large scaleL, whereLis the charac3 3 ber of grid pointsNup to4096were performed teristic length scale of energy containing eddies. on the Earth Simulator. One is withkmaxη1 This assumption plays a key role in most modern and the other is withkmaxη2, wherekmax theories and modeling of turbulence. is the highest wavenumber in each simulation, andηis the Kolmogorov length scale [2,3]. The However, little seems known about the implica DNSs are based on a spectral method free from tion of the conditionRe1norrL. For alias error. The total kinetic energy is kept al example, one may ask “AreRe= 10,000and most timeindependent by introducing external L/r= 100large enough or not for the observa forcing in the form of negative viscosity at a low tion of the universality ?” What is lacking here wavenumber range. is the quantitative understanding of theRe and scale dependence of the statistics. The DNS data agree well with the well known scaling, We consider here the possible universality of the 3/4 3/4 1/2 statistics under the light of recent high resolutionNRe ,L/ηRe ,RλRe ,
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