http://www.cnr.it/ontology/cnr/individuo/prodotto/ID44992
Anisotropies and universality of buoyancy-dominated turbulent fluctuations: a large-eddy simulation study (Articolo in rivista)
- Type
- Label
- Anisotropies and universality of buoyancy-dominated turbulent fluctuations: a large-eddy simulation study (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Alternative label
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- M. Antonelli, A. S. Lanotte, A. Mazzino (literal)
- Pagina inizio
- Pagina fine
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- Rivista
- Note
- Google Scholar (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Dipartimento di Fisica, University of Genoa, Genoa, Italy; CNR-ISAC, and Istituto Nazionale di Fisica Nucleare, Lecce, Italy;
Dipartimento di Fisica, University of Genoa, Consorzio Nazionale Interuniversario per le Scienze Fisiche della Materia, and
Istituto Nazionale di Fisica Nucleare, Genoa, Italy (literal)
- Titolo
- Anisotropies and universality of buoyancy-dominated turbulent fluctuations: a large-eddy simulation study (literal)
- Abstract
- Turbulent fluctuations of both velocity and temperature fields,
issuing from high resolution large eddy simulations, have been
analyzed in convective boundary layers. The numerically simulated
flows are strongly anisotropic at large scales: this is due both to
the action of buoyancy and to the imposed geostrophic wind. Their
relative weight is varied so that one experiment results much more
convective than the other. To properly disentangle anisotropic
properties, we exploit both standard statistical indicators, like
skewness coefficients, and the three-dimensional rotational group
decomposition $SO(3)$. Two main conclusions can be drawn. First,
despite the strong anisotropies at large scales, isotropy is
statistically recovered at scales much smaller than the large
ones. Second, relevant statistical indicators of turbulence such as
the scaling exponents, of both velocity and temperature fields, are
remarkably close for the two experiments. Implications of these
findings for the problem of subgrid scale modeling are
discussed. (literal)
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