Literature DB >> 15698086

Regeneration of small eddies by data assimilation in turbulence.

Kyo Yoshida1, Junzo Yamaguchi, Yukio Kaneda.   

Abstract

The effect of data assimilation of large-scale eddies on small-scale eddies in turbulence is studied by direct numerical simulations (DNSs) of Navier-Stokes turbulence with Taylor microscale Reynolds numbers up to 179. The DNSs show that even if the data of small-scale eddies are lost at some initial instant, they can be regenerated from the data of large-scale eddies under the condition that Fourier modes with wave number less than a critical wave number k(*) are continuously assimilated, where k(*) approximately 0.2eta(-1) with eta identical with(nu(3)/epsilon)(1/4), epsilon the mean energy dissipation rate, and nu the viscosity.

Entities:  

Year:  2005        PMID: 15698086     DOI: 10.1103/PhysRevLett.94.014501

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


  2 in total

1.  Hybrid modeling and prediction of dynamical systems.

Authors:  Franz Hamilton; Alun L Lloyd; Kevin B Flores
Journal:  PLoS Comput Biol       Date:  2017-07-10       Impact factor: 4.475

2.  Tracking intracellular dynamics through extracellular measurements.

Authors:  Franz Hamilton; Tyrus Berry; Timothy Sauer
Journal:  PLoS One       Date:  2018-10-17       Impact factor: 3.240

  2 in total

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