Turbulence anisotropy effects on corner-flow separation: physics and turbulence modelling

Tamaki, Yoshiharu; Kawai, Soshi

doi:10.1017/jfm.2024.25

Cited by 2 publications

References 54 publications

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High-order simulation of NASA juncture flow with Reynolds-stress model

WANG,

Wang,

Deng

2024

First Aerospace Frontiers Conference (AFC 2024)

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The prediction of junction flows, such as those formed around a wing-fuselage intersection, remains a challenge owing to the strong anisotropy. Traditional eddy viscosity models(EVMs) usually predict a non-physical separation.To solve this problem robustly by higher-order methods, this paper proposes alternative scale-providing Reynoldsstress models(RSMs) in which the specific dissipation rate  transport equation is replaced by 8 8 ( 1/ )       in the frame-work of the original SSG/LRR model . The new scale-providing variable could improve the calculation robustness of turbulence models especially in high-order numerical methods owing to its natural boundary conditions and small gradient near the wall. Besides it is also combined with t Re   transition model to extend its applications. In addition, some EVMs such ast SST Re   , -SST k w and -SST k w with quadratic constitutive relation(QCR) are also implemented as comparations. The solution polynomials of the mean-flow and turbulence-model equations are discretized by five-order weighted compact nonlinear schemes(WCNSs). NASA Juncture-Flow experimental data is used for validation. Finally, both the velocity components and Reynolds stresses near and upstream of the junction region predicted by the new RSM are better than the EVMs. The calculated range of junction separation zone is also well aligned with experiments. Therefore, the scale-transformed RSM model has successfully improved prediction accuracy in the juncture region compared to eddy viscosity models.

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High-order simulation of NASA juncture flow with Reynolds-stress model

WANG,

Wang,

Deng

2024

First Aerospace Frontiers Conference (AFC 2024)

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Critical Assessment of Quadratic Closures for Prediction of Corner Flow Separation

Prudenzano,

Gand,

Deck

2024

AIAA Journal

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The work proposed in this paper aims at improving the physical understanding and modeling of junction flows by conducting an analysis of several quadratic constitutive relations (QCRs) applied to corner vortices. Reynolds-averaged Navier–Stokes computations are performed on two academic configurations for verification purposes and on a technical application of wing–body juncture featuring corner flows to achieve a better comprehension of the QCR variants’ ability to reproduce turbulent stress combinations relevant to secondary flows generation. This addresses the more theoretical interest of analyzing the onset of corner separation (at an angle of attack [Formula: see text]) and the role of corner flow vortices. Linear eddy viscosity model and the extended QCR failed to detect these vortical structures; the latter encountered numerical stability difficulties. On the other hand, QCR2000, QCR2020, and QCR(r) showed behavior consistent with a simulation using the Reynolds Stress Model, experiments, and literature results. This better prediction was found to be related to the ability of these models to accurately predict the stress-induced vortex that acts in delaying and reducing the size of the corner separation. Notably, the more recent QCR(r) and QCR2020 have enhanced the estimation of the normal stress combination [Formula: see text] compared to the more widespread QCR2000, demonstrating their validity as alternative models.

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Turbulence anisotropy effects on corner-flow separation: physics and turbulence modelling

Cited by 2 publications

References 54 publications

High-order simulation of NASA juncture flow with Reynolds-stress model

High-order simulation of NASA juncture flow with Reynolds-stress model

Critical Assessment of Quadratic Closures for Prediction of Corner Flow Separation

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