Low Reynolds number modeling of turbulent flows with and without wall transpiration

So, R. M. C.; Yoo, Geun Jong

doi:10.2514/3.9825

Cited by 28 publications

(7 citation statements)

References 25 publications

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“…Simulations with model (12) are possible, but since this model includes xx P and three turbulent diffusion terms, the combined effect of DNS data uncertainties on the solution is of current concern. Testing with different DNS databases is necessary for more accurate identification of model coefficients in (10)- (12) and for more reliable computational validation of VPG models.…”

Section: Simulations Conducted With Uncoupled Equationsmentioning

confidence: 99%

RANS Simulations of a Channel Flow with a New Velocity/Pressure-Gradient Model

Poroseva

Colmenares

Murman

2015

22nd AIAA Computational Fluid Dynamics Conference

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Accurate prediction of wall-bounded flows with Reynolds-averaged Navier-Stokes turbulence models requires the improved modeling of physical processes that occur in turbulent flows such as the interaction of turbulent velocity and pressure fields, turbulent diffusion, and dissipative processes. Recently, novel models for the velocity/pressuregradient correlations through the fourth order were proposed by the authors and successfully validated against direct numerical simulation (DNS) data in wall-bounded flows without separation in a priori testing. In the current work, these models are implemented in transport equations for the Reynolds stresses to evaluate the model performance in a fullydeveloped planar channel. Other terms that need modeling in the Reynolds stress transport equations are represented in simulations by their DNS profiles to eliminate uncertainty due to modeling these terms. Problems with using DNS data as an input in simulations are highlighted. An approach to mitigate some of those problems is proposed. The computed results are compared against DNS data. NomenclatureU i = mean velocity component in the i-direction U = mean velocity in the streamwise direction ij Π = velocity -pressure-gradient tensor, ( ) , ,

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Section: Simulations Conducted With Uncoupled Equationsmentioning

confidence: 99%

RANS Simulations of a Channel Flow with a New Velocity/Pressure-Gradient Model

Poroseva

Colmenares

Murman

2015

22nd AIAA Computational Fluid Dynamics Conference

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“…In contrast with other models in the literature where the fluid governing equations must be modified near the surface according to the injection rate8–14, we developed a model where the physical phenomena due to blowing are directly taken into account. They involve both a friction stress on the surface and a fluid injection in the boundary layer.…”

Section: Models Of Blowingmentioning

confidence: 99%

Comparison between two models of cooling surfaces using blowing

Mathelin

Bataille

Lallemand

2001

Annals of the New York Academy of Sciences

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To protect surfaces against high temperatures, the blowing through a porous material is studied. The geometry is that of a circular cylinder in cross‐flow and the effectiveness of the blowing for the thermal protection is numerically investigated. Two models are developed for the blowing simulation and comparisons are made with experimental data obtained in a heated wind‐tunnel. It is shown that the blowing strongly affects the dynamical and thermal profiles over the surface, thickening the boundary layers and decreasing the external transfer coefficients. It results in a lower viscous drag and thermal stress. The wall temperature dramatically decreases with blowing and the heat flux is also affected.

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“…Previous researchers (e.g. Elena et al 1977, Schildknecht et al 1979, So and Yoo 1987 have studied suction effects on the flow behaviour in a closed conduit experimentally and numerically, but they did not consider its influence on sediment transport rate. Although Cao and Chiew (2014) investigated suction effects on sediment transport rate in closed-conduit flow, they did not vary the suction zone length.…”

Section: Introductionmentioning

confidence: 98%

Effect of suction zone length on sediment transport

Cao

Chiew

Liu

2014

Journal of Hydraulic Research

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Although many papers have reported suction influence on sediment transport, only few of them considered effects of suction zone length on sediment transport rate. In this study, experiments were conducted to investigate suction effects on sediment transport rate in a horizontal conduit with a suction zone with variable lengths. The results show that at the same suction intensity in the form of suction velocity ratio, the sediment transport rate increases with suction zone length, while all the data collapse if suction intensity in the form of suction rate ratio is used. Moreover, velocities measured using particle image velocimetry are used to explain the effect of suction zone length on the transport rate. Finally, a modified densimetric Froude number involving the effect of suction rate in terms of changes to the near-bed streamwise velocity is developed on the basis of this finding.

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Low Reynolds number modeling of turbulent flows with and without wall transpiration

Cited by 28 publications

References 25 publications

RANS Simulations of a Channel Flow with a New Velocity/Pressure-Gradient Model

RANS Simulations of a Channel Flow with a New Velocity/Pressure-Gradient Model

Comparison between two models of cooling surfaces using blowing

Effect of suction zone length on sediment transport

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