2005
DOI: 10.1063/1.1858511
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A dynamic nonlinear subgrid-scale stress model

Abstract: In this paper, a dynamic subgrid scale (SGS) stress model based on Speziale’s quadratic nonlinear constitutive relation [C. G. Speziale, J. Fluid Mech. 178, 459 (1987); T. B. Gatski and C. G. Speziale, J. Fluid Mech. 254, 59 (1993)] is proposed, which includes the conventional dynamic SGS model as its first-order approximation. The closure method utilizes both the symmetric and antisymmetric parts of the resolved velocity gradient, and allows for a nonlinear anisotropic representation of the SGS stress tensor.… Show more

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Cited by 71 publications
(119 citation statements)
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References 80 publications
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“…The DNM is based on an explicit nonlinear quadratic tensorial polynomial constitutive relation of Speziale [12], which includes the conventional DM as its first-order approximation as well as two higher-order tensorial constituent components for nonlinear anisotropic representation of the SGS stress tensor. As a result, it can exhibit local stability without the need for plane-averaging, and reflect the physical mechanisms of both forward and backward scatter of SGS KE between the filtered and subgrid scale motions [11,13,14]. In comparison with the DM, the DNM overcomes several major drawbacks of the DM and admits more degrees of freedom for geometrical representation of the SGS stress tensor.…”
Section: Dynamic Modelling For Sgs Stressesmentioning
confidence: 99%
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“…The DNM is based on an explicit nonlinear quadratic tensorial polynomial constitutive relation of Speziale [12], which includes the conventional DM as its first-order approximation as well as two higher-order tensorial constituent components for nonlinear anisotropic representation of the SGS stress tensor. As a result, it can exhibit local stability without the need for plane-averaging, and reflect the physical mechanisms of both forward and backward scatter of SGS KE between the filtered and subgrid scale motions [11,13,14]. In comparison with the DM, the DNM overcomes several major drawbacks of the DM and admits more degrees of freedom for geometrical representation of the SGS stress tensor.…”
Section: Dynamic Modelling For Sgs Stressesmentioning
confidence: 99%
“…For example, it can lead to an unrealistic SGS dissipation effect if the model coefficient is restricted to be positive; on the other hand, a potential numerical instability arises due to the excessive backscatter of the SGS if the model coefficient is allowed to be negative. Furthermore, the DM can be potentially ill-conditioned because the model coefficient is not bounded and admits a possible singularity when the denominator of the formulation (M ij M ij ) becomes very small [11]. Finally, this model requires the principal axes of the SGS stress tensor to be aligned with those of the resolved strain rate tensor, which leads to insufficient representation of the SGS stress components [13].…”
Section: Sgs Stress Model 1 (Dm)mentioning
confidence: 99%
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