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Numerical simulation study of wind pressure distribution and local shape coefficient on the surface of enclosure structure under windload
Author: ZHOU Jianmin SHI Haibo CHENG Zheng Time: 2020-01-10 Counts:

doi:10.16186/j.cnki.1673-9787.2020.1.21

Received:2019/04/09

Revised:2019/05/21

Published:2020/01/15

Numerical simulation study of wind pressure distribution and local shape coefficient onthe surface of enclosure structure under wind load

ZHOU Jianmin, SHI Haibo, CHENG Zheng

Department of Structural Engineering Tongji UniversityShanghai 200092 China

Abstract:Wind resistance of enclosure structure was studied from the angles of wind pressure distribution and local shape coefficient of wind load. Based on computational fluid dynamics CFD method and scSTREAM platform the standard model of high-rise buildings CARRC was simulated by k-ε and RNG k-ε turbulence models respectively. The feasibility of the simulation calculation of scSTREAM platform was verified by comparing the numerical simulation with the experimental results. The results showed that the RNG k-ε turbulence model had higher calculation accuracy and the RNG k-ε turbulence model was selected for continued research. Then models of different wind speeds and different building shapes were established to study their effects on wind pressure distribution and local shape coefficient of wind load. It was concluded that wind pressure distribution and local shape coefficient of wind load of enclosure structure were little affected by the wind speed but had obvious changes with the change of building shape. For buildings with different aspect ratios and width-thickness ratios the distribution of wind pressure on each surface of enclosure structure was quite different and the value of the local shape coefficient of wind load was obviously higher than that of the code and the unreasonable value of the code was point out. This could optimize the partition value of local shape coefficient of enclosure structure.

Key words:enclosure structrue;wind pressure distribution;local shape coefficient of wind load;computational fluid dynamics;RNG  turbulence model

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