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A Study of Wind Pressure Distribution for a Rectangular Building Using CFD
Abstract
This paper studies the wind pressure distribution over the Commonwealth Advisory Aeronautical Council building model (CAARC model) using CFD. We also considered the interaction between the CAARC model and other buildings. The Reynolds number based on the building height was 380,000. The number of sells for the simulation was about 500,000. The wind pressure was lowest when the wind direction was blowing at an angle 45 degrees of the CAARC model. When the gap between the two buildings in front of the CAARC was over 1/2 the horizontal length of the CAARC model, the wind pressure was higher than the pressure without the two buildings. When the distance between the two front buildings and the CAARC was less than 1.5 times the vertical length of the CAARC model, the wind pressure increased. Accordingly, the relative distance between two buildings or the distance from the CAARC model should be considered when extra wind exists due to other buildings.
... The wind tunnel test has been additionally confirmed as an effective way to investigate wind-induced responses [12,13]. The wind tunnel pressure test results and numerical calculation conclusions of the CAARC building model [14] suggest that the direct comparison of the model surface pressure measurement results facilitates the quality verification of the wind field [15][16][17][18]. It is capable of deducing the critical wind speed for surface damage of a single-span plastic greenhouse in the NH-2 wind tunnel and clearly describing the wind pressure distribution on the respective surface [19]. ...
Investigating the wind-induced vibration response of the greenhouse structure, and the wind pressure distribution on its surface takes on a critical significance when the main structure is under large wind loads. A computational fluid dynamics-based study was conducted, and wind tunnel tests were performed to study the wind pressure distribution on the surface of the greenhouse structure. First, three types of greenhouses, including Venlo, Round-arch, and Saw-tooth type greenhouses, were selected as the design models for the study. In addition, the double-span, four-room structure model was built to explore the wind pressure distribution and the extreme wind pressure coefficient on the greenhouse surface for 13 (0°–180°, every 15°) directions of the wind direction to obtain the wind load characteristics in the greenhouse surface under different conditions. The results of the wind tunnel tests were consistent with those of the simulations, with the maximum wind pressure in the X-direction occurring at 30°-wind and the maximum wind pressure in the Y-direction at 75°-wind. The maximum negative wind pressure acting locally on the roof of the greenhouse was twice the maximum positive pressure acting on the windward side of the greenhouse. Accordingly, it is necessary to strengthen the structure in regions sensitive to wind direction with significant response to wind.
In this study, a thermal flow analysis was performed using the commercial code, ANSYS-FLUENT to reduce room temperature in a turbine building of power plant. The selected control volume of the operating floor and deaerator floor for the turbine building was respectively modelled. The skylight windows at the deaerator floor were employed for ventilation windows. Through the study, in the first we found that all window close of the deaerator floor is one alternative for reducing the temperature of the operating floor. The next thing we knew that for windows open at the front of the deaerator floor, the temperature of deaerator zone and crane zone can be respectively reduced to 1.5^{\circ}C and 1.6^{\circ}C. In addition, for windows close at the rear of the deaerator floor, the temperature of deaerator zone and crane zone can be respectively reduced to 1.4 and 0.5^{\circ}C. Therefore, it was concluded that a better choice is to open the front windows at deaerator floor to reduce the temperature of the entire deaerator floor having high temperature.
A study for application and numerical prediction of wind pressure distribution over building cladding using CFD
- Y B Chung
- Y C Ha
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Comparison between wind tunnel experiment and CFD for experiment on wind environment
- H J Jo
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Characteristics on the vertical mean wind pressure distribution for rectangular buildings with various heights
- J H Park
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Example study on building wind of apartment complex by computational fluid dynamics
- J W Roh
Numerical prediction of wind pressure distribution over building
- C S Song
- S O Park
Song, C. S. and Park, S. O., 2008, Numerical prediction of wind pressure distribution over building, Vol.
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