Numerical Simulation of ANATEX Tracer Data Using a Turbulence Closure Model for Long-Range Dispersion

1993 ◽  
Vol 32 (5) ◽  
pp. 929-947 ◽  
Author(s):  
R. I. Sykes ◽  
S. F. Parker ◽  
D. S. Henn ◽  
W. S. Lewellen
1995 ◽  
Vol 34 (2) ◽  
pp. 520-527
Author(s):  
Jiang Weimei ◽  
Wu Xiaoming ◽  
Zhou Jingnan

Abstract A 2D higher-order turbulence closure model for research on the structure of the thermal internal boundary layer (TIBL) has been developed in this paper. The mean quantities (temperature and wind), as well as their turbulent moments and their distribution under the TIBL, were computed. Results of numerical simulation show that under the initial condition of onshore flow and surface temperature on land being higher, than on water. 1) the profile of the TIBL on shore can be identified by the distributions of the mean wind and temperature, and during the integration hours there is an unstable stratified region over land that extends upward and inland gradually; 2) the shape of the profiles of the TIBL is roughly in concordance with observed profiles, but there are some differences, obviously, between the results computed by the formula of h ∼ x1/2 and the results of the numerical experiment; and 3) u′2, v′2, w′2, and u′w′, θ′w′ and their general features are well reproduced by the model. It is shown that the numerical model is feasible and effective.


Author(s):  
Muhammad A. R. Sharif ◽  
Yat-Kit E. Wong

Abstract The performance of a nonlinear k-ϵ turbulence closure model (NKEM), in the prediction of isothermal incompressible turbulent flows, is compared with that of the stress transport models such as the differential Reynolds stress transport model (RSTM) and the algebraic stress transport model (ASTM). Fully developed turbulent pipe flow and confined turbulent swirling flow with a central non-swirling jet are numerically predicted using the Marker and Cell (MAC) finite difference method. Comparison of the prediction with the experiment show that all three models perform reasonably well for the pipe flow problem. For the swirling flow problem, the RSTM and ASTM is superior than the NKEM. RSTM and ASTM provide good agreement with measured mean velocity profiles. However, the turbulent stresses are over- or under-predicted. NKEM performs badly in prediction of mean velocity as well as the turbulent stresses.


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