Published August 2003 | Version v1
Journal article

Prediction of the spreading mechanism of 3D turbulent wall jets with explicit Reynolds-stress closures

Description

The paper investigates the predictive performance of different explicit Reynolds-stress closure models when applied to the simulation of 3D wall jets. The flow is of particular interest for its remarkably large ratio of lateral to normal spreading. Experiments report that the lateral rate of spread exceeds the wall-normal rate of spread between five and nine times. This phenomenon is often vigorously misrepresented by RANS simulations. There exists some body of evidence suggesting that the large lateral spreading is due to significant amounts of turbulence-driven axial vorticity (J. Fluid Mech. 435 (2001) 305). The origin of the axial vorticity can be traced back to the anisotropy of turbulent normal stresses perpendicular to the jet axis. The present paper assess the ability of explicit stress-strain relationships to mimic the normal-stress anisotropy in 3D wall jets. It is shown that linear Boussinesq-viscosity models inevitably fail to render the spreading mechanism. Moreover, the paper argues that a physically sound modelling of 3D wall jets requires an explicit closure to include at least one quartic term

Additional details

Identifiers

DOI
10.1016/S0142-727X(03)00041-9;
arXiv
arXiv:astro-ph/0212060v1;
PII
S0142727X03000419;

Publishing Information

Journal Title
International Journal of Heat and Fluid Flow
Journal Volume
24
Journal Issue
4
Journal Page Range
p. 434-443
ISSN
0142-727X
CODEN
IJHFD2

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
36081137
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ANISOTROPY; CLOSURES; FORECASTING; JETS; REYNOLDS NUMBER; SIMULATION; SOUND WAVES; STRAINS; STRESSES; THREE-DIMENSIONAL CALCULATIONS; TURBULENCE; VISCOSITY; WALLS
Descriptors DEC
DIMENSIONLESS NUMBERS

Optional Information

Copyright
Copyright (c) 2003 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.