Comparison of Experimental and RANS-Based Numerical Studies of the Decay of Grid-Generated Turbulence

Torrano, I.; Tutar, Mustafa; Martinez‐Agirre, Manex; Rouquier, Anthony; Mordant, Nicolas; Bourgoin, Mickaël

doi:10.1115/1.4029726

Cited by 24 publications

(16 citation statements)

References 24 publications

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“…The present work attempts to simulate freely decaying isotropic homogenous turbulence using Large Eddy Simulation (LES). The current results show good quantitative agreement with the previous experimental results from [10], [15], [16]. Three different correlations were formulated which can be useful in estimating the local and initial values of turbulent parameters (i.e.…”

Section: Discussionsupporting

confidence: 87%

“…Numerous wind tunnel experiments have focused on generating homogeneous turbulence by different grids; passive [8], [9], active [10], [11], and multiscale (fractal) [12][13][14][15]. Numerical steady-state simulations [16] have also been carried out to reconcile the differences but no quantitative data have been presented at the inlet that would characterize the decay of turbulence downstream of a grid based on those specified initial conditions. A variation in the observed decay exponent n (from 1.0 to 1.4) implies that there might not be a universal state of decay mechanism.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Prediction Tool For Spatially Decaying Freestream Turbulence

Sarkar¹,

Savory²

2018

Progress in Canadian Mechanical Engineering

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A set of new correlation equations characterizing the spatial decay of isotropic homogeneous turbulence has been formulated in the current study. The correlation equations are based on the results from the current numerical simulations combined with data from earlier relevant experimental studies [10], [15], [16]. The correlation equations can be effective for predicting the local values of turbulent properties (turbulence intensity (TI) and integral length scale (Lu)) from well specified initial conditions and, similarly, the magnitudes of inlet turbulence (TI and Lu) can be estimated from the local magnitudes of length scale and turbulent kinetic energy (TKE) using the same prediction methodology. The set of prediction tools should be useful in the design of wind tunnel experiments to characterize bluff body aerodynamics in response to different incident turbulence conditions.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

A Prediction Tool For Spatially Decaying Freestream Turbulence

Sarkar¹,

Savory²

2018

Progress in Canadian Mechanical Engineering

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“…However, the accuracy of the hot-wire sensor used in the test is insufficiently high. Torrano [21] presented experimental and numerical studies of the statistical properties of turbulent flows at moderate Reynolds number in the context of grid-generated turbulence, but the simulation error was not analyzed. Suzuki [22] proposed a validation scheme for the effect of wind tunnel blockage on a decaying gridgenerated turbulence.…”

Section: State Of the Artmentioning

confidence: 99%

Numerical and Experimental Studies on Grid-Generated Turbulence in Wind Tunnel

Liu¹,

Zhang²,

Wu³

et al. 2017

JESTR

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The grid-generated turbulence in wind tunnel is commonly applied in aerodynamic performance experiments of various industrial structures. However, the characteristics and application conditions of the grid-generated turbulence in the wind tunnel are often affected by the grid shape and the test position, respectively. Therefore, in order to clarify the influence of the grid shape and the test position on the grid-generated turbulence in wind tunnel, a computational fluid dynamics (CFD) numerical study on the turbulence generated by two different grids was presented herein, with the wind tunnel experimental validation. Firstly, time histories of the wind speed at 19 monitoring points behind the grid in wind tunnel were collected. Secondly, the entire turbulent field generated by two different grids was simulated using CFD. Then, the characteristics of the turbulence generated by the grids in wind tunnel were investigated. Finally, the accuracy of the CFD simulations compared with the wind tunnel test was studied. Results show that the grid blockage and the interference effect lead to a significant increase of 200% in the turbulence intensity near the grid. Moreover, the grid-generated turbulence conforms to the isotropic assumption only after a specific distance of 2.0-4.0 m from the grid. In addition, CFD errors are generally within 15%-20% of the corresponding measurements in the wind tunnel. This study provides guidance for selecting the installation location of the structure model in a wind tunnel.

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“…It is found that the turbulence intensity generated by the single grid structure is larger than the other two cases in the production region, which is due to the stronger vortex shedding effect, and the fractal grid suppresses the vortex shedding. Torrano [5] compared experimental measurement with RANS-Based numerical studies of the decay of grid-generated turbulence. The result showed the ability of RANS-based numerical simulations to capture the large scale properties generated by grid is within an acceptable accuracy.…”

Section: Introductionmentioning

confidence: 99%

Research on heat transfer characteristics of fractal-generated turbulence based on large eddy simulation

Duan

Jiang

et al. 2019

THERM SCI

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Turbulence plays an important role in the fields of heat and mass transfer and enhanced chemical reaction. In order to explore the effect of grid-generated turbulence on flow heat transfer, in this paper, three different fractal grid structures with the same blocking ratio σ, effective mesh size M eff and thickness ratio max min / = r t t t (Case1: The grid cross-section is a triangle, Case2: the grid cross-section is an inverted triangle, Case3:the grid cross-section is square, Case4:no grid) and without the grid were simulated based on large eddy simulation. The aim of this simulation is to explain the evolution characteristics and heat transfer mechanism of turbulent flow field under the four cases. The results show that, in the same initial condition, Case 2 can generate the highest turbulence intensity and the feature of heat transfer on the cylindrical surface is more uniform. In Case 3, the boundary-layer in the flow field is separated earlier, and more vortices are excited to enhance the heat transfer than other cases in the boundary-layer region. The surface average Nusselt number is 1.3 times than that of Case 4.

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Comparison of Experimental and RANS-Based Numerical Studies of the Decay of Grid-Generated Turbulence

Cited by 24 publications

References 24 publications

A Prediction Tool For Spatially Decaying Freestream Turbulence

A Prediction Tool For Spatially Decaying Freestream Turbulence

Numerical and Experimental Studies on Grid-Generated Turbulence in Wind Tunnel

Research on heat transfer characteristics of fractal-generated turbulence based on large eddy simulation

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