Assessment of stretched vortex subgrid‐scale models for LES of incompressible inhomogeneous turbulent flow

Shetty, Dinesh A.; Frankel, Steven

doi:10.1002/fld.3793

Cited by 5 publications

(2 citation statements)

References 37 publications

(109 reference statements)

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“…see [10]). Shetty and Frankel [30] consider the 'spin-up' of vortex tube as a mechanism for forward energy cascade in the study of wall-bounded turbulence (see also [7]). To account for the effect of vortex-stretching in the subgrid model, Nicoud and Ducros [31] considered the rotation tensor along with the strain tensor in the wall-adapting local eddy viscosity (WALE) model for wall-bounded turbulence.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of Dynamic Subgrid Modeling Approaches in Large Eddy Simulation

Hossen¹,

Variyath²,

Alam³

2021

Preprint

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In large eddy simulation (LES) of turbulent flows, the most critical dynamical processes to be considered by dynamic subgrid models to account for an average cascade of kinetic energy from the largest to the smallest scales of the flow is not fully clear. Furthermore, evidence of vortex stretching being the primary mechanism of the cascade is not out of the question. In this article, we study some essential statistical characteristics of vortex stretching and its role in dynamic approaches of modeling subgrid-scale turbulence. We have compared the interaction of subgrid stresses with the filtered quantities among four models using invariants of the velocity gradient tensor. This technique is a single unified approach to studying a wide range of length scales in the turbulent flow. In addition, it also provides a rational basis for the statistical characteristics a subgrid model must serve in physical space to ensure an appropriate cascade of kinetic energy. Results indicate that the stretching mechanism extracts energy from the large-scale straining motion and passes it onto small-scale stretched vortices.

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Section: Introductionmentioning

confidence: 99%

Statistical Analysis of Dynamic Subgrid Modeling Approaches in Large Eddy Simulation

Hossen¹,

Variyath²,

Alam³

2021

Preprint

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“…Efficient means of computing K 0 , Γ (•), and the eigenvalues/eigenvectors are presented by Voelkl and others [20,1,19].…”

Section: Stretched Vortex Turbulence Modelmentioning

confidence: 99%

Assessing Stretched-Vortex Subgrid-Scale Models in Finite Volume Methods for Unbounded Turbulent Flows

Walters

Gao

Johansen

et al. 2020

Flow Turbulence Combust

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Large-eddy simulation provides a feasible route to solutions of higher physical fidelity than those offered by Reynolds-averaged Navier-Stokes simulations while avoiding the intractable computational expense of direct numerical simulations. While implicit large-eddy simulations have seen widespread use for high-speed turbulent flows, it is unclear how the underlying stability techniques of the computational algorithms interact with added explicit turbulence models. Specific questions include whether the former can substitute for the latter (implicit large-eddy simulation), whether the latter can by itself regularize an infinite-Reynolds number calculation, and the effect of simultaneously using both. In the context of a fourth-order finite-volume method, this study investigates the inter-

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Evaluation of the Stretched-Vortex Subgrid-Scale Model for Large-Eddy Simulation with a Fourth-Order Finite Volume Algorithm

Walters

Gao

Guzik

2019

AIAA Scitech 2019 Forum

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Assessment of stretched vortex subgrid‐scale models for LES of incompressible inhomogeneous turbulent flow

Cited by 5 publications

References 37 publications

Statistical Analysis of Dynamic Subgrid Modeling Approaches in Large Eddy Simulation

Statistical Analysis of Dynamic Subgrid Modeling Approaches in Large Eddy Simulation

Assessing Stretched-Vortex Subgrid-Scale Models in Finite Volume Methods for Unbounded Turbulent Flows

Evaluation of the Stretched-Vortex Subgrid-Scale Model for Large-Eddy Simulation with a Fourth-Order Finite Volume Algorithm

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