213 Wind Tunnel Experiments of Atmospheric Turbulent Diffusion. : Variation of Mean Concentration Properties from short-time to long-time diffusion field.

2009 ◽  
Vol 2009.48 (0) ◽  
pp. 59-60 ◽  
Author(s):  
Atsushi Kosugi ◽  
Nobumasa Sekishita ◽  
Hideharu Makita
Keyword(s):  
Wind Tunnel ◽  
Turbulent Diffusion ◽  
Diffusion Field ◽  
Wind Tunnel Experiments ◽  
Long Time ◽  
Concentration Properties ◽  
Short Time ◽  
Mean Concentration

Experimental Model Techniques for the Investigation of the Dispersion of Chimney Plumes

1975 ◽  
Vol 189 (1) ◽  
pp. 44-54 ◽  
Author(s):  
A. G. Robins
Keyword(s):  
Wind Tunnel ◽  
Flue Gas ◽  
Wind Tunnels ◽  
Wind Tunnel Experiments ◽  
Buoyant Plumes ◽  
Gas Dispersion ◽  
Future Developments ◽  
Stable Atmospheric Boundary Layer ◽  
Mean Concentration ◽  
Concentration Levels

The use of wind tunnels for the study of flue-gas dispersion, the scaling criteria appropriate to the modelling of the motion of buoyant plumes in turbulent boundary layers, and an experimental technique for measuring mean concentration levels are presented and discussed. Two examples of wind-tunnel experiments are used to demonstrate the techniques and to illustrate the implications of the scaling criteria. Both experiments were performed at ***1 300 scale in a simulated neutrally stable atmospheric boundary layer. Finally, the present limitations of wind-tunnel studies are considered and possible future developments are discussed.

Wind Tunnel Experiments of Atmospheric Turbulent Diffusion.

2016 ◽  
Vol 2016.54 (0) ◽  
pp. 71-72
Author(s):  
Atsushi Kosugi ◽  
Tomoki Furudate ◽  
Satoshi Fukui
Keyword(s):  
Wind Tunnel ◽  
Turbulent Diffusion ◽  
Wind Tunnel Experiments

Wind Tunnel Experiments of Atmospheric Turbulent Diffusion

2000 ◽  
Vol 2000.4 (0) ◽  
pp. 221-222
Author(s):  
Atushi KOSUGI ◽  
Hideharu MAKITA ◽  
Kenji SAITO
Keyword(s):  
Wind Tunnel ◽  
Turbulent Diffusion ◽  
Wind Tunnel Experiments

Control of Blow-Down Wind Tunnel Using Combined Extended Kalman and Nonlinear Predictive Filters

2017 ◽  
Vol 139 (4) ◽  
Author(s):  
Ruixiang Zheng ◽  
Mian Li ◽  
Zhaoguang Wang ◽  
Qiang Zhang
Keyword(s):  
Wind Tunnel ◽  
Control Method ◽  
Test Procedure ◽  
Wind Tunnels ◽  
State Variables ◽  
Coupling Effects ◽  
Blow Down ◽  
Long Time ◽  
Short Time ◽  
Relationship Of

A blow-down wind tunnel is a typical nonlinear time-varying system facing the coupling effects between the pressure and temperature during the short-time test procedure. The control of blow-down wind tunnels has been discussed for a long time and a satisfactory general solution to this problem is still of interests. This paper aims to model the internal relationship of the state variables of the wind tunnel by using thermodynamic theories. With the developed model, a new control method combining extended Kalman filter (EKF) together with auxiliary nonlinear predictive filter (NPF) is proposed to improve the control performance of the blow-down wind tunnel controller, in terms of accuracy and robustness. The transient coupling effects between the pressure and temperature are fully considered in the proposed approach. The results from the simulation and experiments are consistent and demonstrate that the controller based on EKF combined together with NPF can work better than previously proposed EKF-based controller.

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