Reynolds-Stress Model for Quasi-two-dimensional Turbulent Shear Flow

1993 ◽  
pp. 93-102 ◽  
Author(s):  
S. Babarutsi ◽  
V.H. Chu
Keyword(s):  
Shear Flow ◽  
Reynolds Stress ◽  
Reynolds Stress Model ◽  
Turbulent Shear ◽  
Stress Model ◽  
Two Dimensional ◽  
Turbulent Shear Flow

The Development of the Reynolds Stress Tensor in a Turbulent Shear Flow

1970 ◽  
Vol 92 (4) ◽  
pp. 836-842
Author(s):  
S. J. Shamroth ◽  
H. G. Elrod
Keyword(s):  
Shear Flow ◽  
Stress Tensor ◽  
Linear Model ◽  
Reynolds Stress ◽  
Experimental Results ◽  
Turbulent Shear ◽  
Turbulent Shear Flow ◽  
Reynolds Stress Tensor ◽  
Theoretical Predictions

The development of the normalized Reynolds stress tensor, uiuj/q2, in the region upstream of a fully developed, turbulent shear flow is investigated. An inviscid, linear model is used to predict values of the normalized Reynolds stress tensor as a function of position. The theoretical predictions are then compared with experimental results.

Numerical simulation of contaminant dispersion in estuary flows

1982 ◽  
Vol 381 (1780) ◽  
pp. 179-194 ◽  
Keyword(s):  
Numerical Simulation ◽  
Random Walk ◽  
Shear Flow ◽  
Diffusion Equation ◽  
New Method ◽  
Turbulent Shear ◽  
Two Dimensional ◽  
Turbulent Shear Flow ◽  
Oscillatory Flows ◽  
Contaminant Dispersion

The paper examines in detail the dispersion of a passive contaminant in steady and oscillatory turbulent shear flow in a two-dimensional channel. The aim of this examination is to understand dispersion in estuaries. A new method of analysing and predicting concentration distributions has been developed from work of Sullivan ( J. Fluid Mech . 49, 551–576 (1971)). A random walk technique is used, the contaminant being represented by a large number of marked particles whose paths are tracked as they move through the fluid. The technique seeks to model the physics of dispersion more realistically than the standard diffusion equation, and results from the simulation, with input based on data taken in the Mersey, show it to be a useful and versatile method of studying dispersion in oscillatory flows.

Dynamics of inviscid truncated model of two‐dimensional turbulent shear flow

1989 ◽  
Vol 1 (7) ◽  
pp. 1225-1234 ◽  
Author(s):  
Yukio Kaneda ◽  
Toshiyuki Gotoh ◽  
Naoaki Bekki
Keyword(s):  
Shear Flow ◽  
Turbulent Shear ◽  
Two Dimensional ◽  
Turbulent Shear Flow

The Effect of Compressibility on Turbulent Shear Flow: Direct Numerical Simulation Study

2013 ◽  
Vol 135 (10) ◽  
Author(s):  
Aicha Hanafi ◽  
Hechmi Khlifi ◽  
Taieb Lili
Keyword(s):  
Numerical Simulation ◽  
Shear Flow ◽  
Direct Numerical Simulation ◽  
Reynolds Stress ◽  
Simulation Study ◽  
Structural Evolution ◽  
Second Order ◽  
Turbulent Shear ◽  
Turbulent Shear Flow ◽  
Wide Range

The study of the phenomenon of compressibility for modeling to second order has been made by several authors, and they concluded that models of the pressure-strain are not able to predict the structural evolution of the Reynolds stress. In particular studies and Simone Sarkar et al., a wide range of initial values of the parameters of the problem are covered. The observation of Sarkar was confirmed by the study of Simone et al. (1997,“The Effect of Compressibility on Turbulent Shear Flow: A Rapid Distortion Theory and Direct Numerical Simulation Study,” J. Fluid Mech., 330, p. 307;“Etude Théorique et Simulation Numérique de la Turbulence Compressible en Présence de Cisaillement où de Variation de Volume à Grande Échelle” thése, École Centrale de Lyon, France). We will then use the data provided by the direct simulations of Simone to discuss the implications for modeling to second order. The performance of different variants of the modeling results will be compared with DNS results.

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