Filtered velocity based LES of mixing in high speed recirculating shear flow

Sidharth, G. S.; Kartha, Anand; Candler, Graham V.

doi:10.2514/6.2016-3184

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Scale-resolving simulation (SRS) models are nowadays widely applied in computation of turbulent flow problems of practical interest, e.g., vehicle aerodynamics and hydrodynamics [1,2,3,4,5,6,7], offshore engineering [8,9,10,11,12,13], propeller design [14,15,16,17,18,19], material mixing [20,21,22,23,24,25], and combustion [26,27,28,29,30,31]. These formulations are characterized by their ability to resolve a fraction of or all turbulence scales present in a flow.…”

Section: Introductionmentioning

confidence: 99%

Verification and Validation: the Path to Predictive Scale-Resolving Simulations of Turbulence

Pereira,

Grinstein,

Israel

et al. 2021

Preprint

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This work investigates the importance of verification and validation (V&V) to achieve predictive scale-resolving simulations (SRS) of turbulence, i.e., computations capable of resolving a fraction of the turbulent flow scales. Toward this end, we present a novel but simple V&V strategy based on grid and physical resolution refinement studies that can be used even when the exact initial flow conditions are unknown, or reference data is unavailable. This is particularly relevant for transient and transitional flow problems, as well as for the improvement of turbulence models. We start by presenting a literature survey of results obtained with distinct SRS models for flows past circular cylinders. It confirms the importance of V&V by illustrating a large variability of results, which is independent of the selected mathematical model and Reynolds number. The proposed V&V strategy is then used on three representative problems of practical interest. The results illustrate that it is possible to conduct reliable verification and validation exercises with SRS models, and evidence the importance of V&V to predictive SRS of turbulence. The data also confirm the advantages of the proposed V&V strategy.

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Section: Introductionmentioning

confidence: 99%

Verification and Validation: the Path to Predictive Scale-Resolving Simulations of Turbulence

Pereira,

Grinstein,

Israel

et al. 2021

Preprint

View full text Add to dashboard Cite

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Density-unweighted subgrid-scale models for large-eddy simulations of compressible turbulence

et al. 2022

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Density-unweighted methods in large-eddy simulations (LES) of turbulence have received little attention, and the modeling of unclosed terms using density-unweighted methods even less. We investigate the density-unweighted subgrid-scale (SGS) closure problem for LES of decaying compressible isotropic turbulence at initial turbulent Mach numbers 0.4 and 0.8. Compared to the LES with Favre (density-weighted) filtering, there are more unclosed SGS terms for density-unweighted LES, which can be reconstructed using different SGS models, including the gradient model (GM), approximate deconvolution model (ADM), dynamic Smagorinsky model (DSM), dynamic mixed model (DMM), and the dynamic iterative approximate deconvolution (DIAD) models proposed by Yuan et al. “Dynamic iterative approximate deconvolution models for large-eddy simulation of turbulence,” Phys. Fluids 33, 085125 (2021). We derive GM models suitable for density-unweighted methods. We also, for the first time, apply the DIAD model to investigate compressible turbulence. In the a priori tests, the correlation coefficients of the GM, ADM, and DIAD models are larger than 0.9. Particularly, the correlation coefficients of DIAD models exceed 0.98 and the relative errors are below 0.2, which is superior to that in other SGS models. In the a posteriori tests of the density-unweighted LES, the DIAD model shows great advantages over other SGS models (including GM, ADM, DSM, and DMM models) in predicting the various statistics and structures of compressible turbulence, including the velocity spectrum, probability density functions (PDFs) of SGS fluxes and the instantaneous spatial structures of SGS heat flux, SGS kinetic energy flux, and vorticity.

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Filtered velocity based LES of mixing in high speed recirculating shear flow

Cited by 2 publications

References 7 publications

Verification and Validation: the Path to Predictive Scale-Resolving Simulations of Turbulence

Verification and Validation: the Path to Predictive Scale-Resolving Simulations of Turbulence

Density-unweighted subgrid-scale models for large-eddy simulations of compressible turbulence

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