2008
DOI: 10.1103/physreve.78.036313
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A prioristudy of subgrid-scale flux of a passive scalar in isotropic homogeneous turbulence

Abstract: We perform a direct numerical simulation (DNS) of forced homogeneous isotropic turbulence with a passive scalar that is forced by mean gradient. The DNS data are used to study the properties of subgrid-scale flux of a passive scalar in the framework of large eddy simulation (LES), such as alignment trends between the flux, resolved, and subgrid-scale flow structures. It is shown that the direction of the flux is strongly coupled with the subgrid-scale stress axes rather than the resolved flow quantities such a… Show more

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Cited by 39 publications
(42 citation statements)
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“…The formulation of the new model is such that its prediction of the subgrid-scale (SGS) scalar flux vector is not necessarily aligned with the resolved scalar gradient vector. It uses the SGS stress tensor in its formulation which is in agreement with the recent findings of Chumakov (2008) where it has been pointed out that the direction of the SGS scalar flux vector is connected to the eigenvalues and eigenvectors of the SGS stress tensor. Since the new model includes the rotation-rate tensor in its formulation, it accounts for rotational effects at the SGS level in a natural way.…”
Section: Discussionsupporting
confidence: 71%
“…The formulation of the new model is such that its prediction of the subgrid-scale (SGS) scalar flux vector is not necessarily aligned with the resolved scalar gradient vector. It uses the SGS stress tensor in its formulation which is in agreement with the recent findings of Chumakov (2008) where it has been pointed out that the direction of the SGS scalar flux vector is connected to the eigenvalues and eigenvectors of the SGS stress tensor. Since the new model includes the rotation-rate tensor in its formulation, it accounts for rotational effects at the SGS level in a natural way.…”
Section: Discussionsupporting
confidence: 71%
“…Equation (19) also explains the enstrophy dependence of τ φ orientation observed in Ref. [30]. In regions of low enstrophy (|ω| 2 /2), the e 3 component of Eq.…”
Section: A Explanation For Orientationsupporting
confidence: 59%
“…Details of the individual runs are summarized in Table I. 053010-3 Our simulations have been well validated by means of extensive and detailed comparison with the results of other investigations. Further details of the performance of our code including verification of isotropy may be found in the thesis by Yoffe [37], along with values for the Kolmogorov constant and velocity-derivative skewness; and a direct comparison with the freely available pseudospectral code hit3d [38,39]. Furthermore, our data reproduce the characteristic behavior for the plot of the dimensionless dissipation rate C ε against R λ [40], and agree closely with other representative results in the literature, such as the work by Wang, Chen, Brasseur, and Wyngaard [41], Cao, Chen, and Doolen [42], Gotoh, Fukayama, and Nakano [43], Kaneda, Ishihara, Yokokawa, Itakura, and Uno [33], Donzis, Sreenivasan, and Yeung [44], and Yeung, Donzis, and Sreenivasan [45], although there are some differences in forcing methods.…”
Section: Methodsmentioning
confidence: 99%