An Improved Model Including Length Scale Anisotropy for the Pressure Strain Correlation of Turbulence

Panda, J. P.; Warrior, Hari; Maity, Subhendu; Mitra, A.; Sasmal, Kaushik

doi:10.1115/1.4035467

Cited by 29 publications

(36 citation statements)

References 29 publications

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“…In this section, we vary the value of C 2 while using different established Reynolds Stress Models to find the optimal value for this coefficient. The values and are reported in [19].…”

Section: Resultsmentioning

confidence: 99%

Experimental and numerical analysis of grid generated turbulence with and without mean strain

Panda

Mitra

Joshi

et al. 2018

Experimental Thermal and Fluid Science

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This paper presents experimental and numerical analysis of grid generated turbulence with and without the effects of applied mean strain. We conduct a series of experiments on decaying grid generated turbulence and grid turbulence with mean strain. Experimental data of turbulence statistics including Reynolds stress anisotropies is collected, analyzed and then compared to the predictions of Reynolds Stress Models to assess their accuracy. The experimental data is used to evaluate the variability in the coefficients of the rate of dissipation model and the pressure strain correlation models used in Reynolds Stress Modeling.For both models we recommend optimal values of coefficients that should be used for experimental studies of grid generated turbulence.

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“…In this section, we vary the value of C 2 while using different established Reynolds Stress Models to find the optimal value for this coefficient. The values and are reported in [19].…”

Section: Resultsmentioning

confidence: 99%

Experimental and numerical analysis of grid generated turbulence with and without mean strain

Panda

Mitra

Joshi

et al. 2018

Experimental Thermal and Fluid Science

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“…For example axisymmetric expansion and axisymmetric contraction mean flows. In many anisotropic turbulent flows, the characteristic length scale is observed to be varying in different directions Panda et al (2017); Tietjens and Prandtl (1934). At the most basic level, we must try to include this anisotropy in the length scale in the modeling basis for the pressure strain correlation.…”

Section: (6)mentioning

confidence: 99%

“…A scaling factor l is defined as / . The expression for the length scale anisotropy is given by * * (8) This derivation can be found in detail in Panda et al (2017).…”

Section: (6)mentioning

confidence: 99%

A Reliable Pressure Strain Correlation Model for Complex Turbulent Flows

Panda¹

2020

JAFM

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Developing an accurate and reliable model for the pressure strain correlation is a critical need for the success of the Reynolds Stress Modeling approach. This is challenging because replicating the non-local effects of pressure using a modeling basis composed of local tensors is limiting. In this paper we use physics based arguments and analysis of simulation data to select additional tensors to extend this modeling basis for pressure strain correlation modeling to formulate models with improved precision and robustness. We integrate these tensors in the modeling basis and develop separate models for the slow and rapid pressure strain correlation. This complete pressure strain correlation model is tested for different turbulent flows and its predictions are compared to prior pressure strain correlation models. We show that the new model with an extended tensor basis is able to show improvements in accuracy and reliability.

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“…Typical examples of such models are the k-ε or the k-ω models in their different forms. Recently, many Reynolds stress models have been developed by correcting the pressure-strain correlation of turbulence [22][23][24][25].…”

Section: Tumentioning

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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An Improved Model Including Length Scale Anisotropy for the Pressure Strain Correlation of Turbulence

Cited by 29 publications

References 29 publications

Experimental and numerical analysis of grid generated turbulence with and without mean strain

Experimental and numerical analysis of grid generated turbulence with and without mean strain

A Reliable Pressure Strain Correlation Model for Complex Turbulent Flows

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

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