Mean Wind Pressure Field on the Typical Large-Span Roof Structures

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Abstract:

The wind tunnel tests of some typical large roofs, including a saddle roof, pitched roof and domes, are carried out with various terrains which cover suburban and urban exposures. The wind pressure data of roofs are obtained by using the synchronous multi-pressure scanning technique. The wind pressure coefficient and local shape factors of the wind load was investigated. The effects of various terrains on wind pressures of roofs are discussed. From the results, we can see mean pressures of these roofs exposed to the mean pressures exposed to the suburban terrain are 2 or 3 times those exposed to the urban terrain. And the terrains are no directly influence to the wind pressure shape factors.

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19-24

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] C. M. Cheng, C. L. Fu, Characteristic of wind loads on a hemispherical dome in smooth flow and turbulent boundary layer flow, J. Wind Eng. Ind. Aerodyn. 98 (2010) 328-344.

DOI: 10.1016/j.jweia.2009.12.002

Google Scholar

[2] J. Marighetti, A. Wittwer, M. D. Bortoli, B. Natalini, M. Paluch, M. Natalini, Fluctuating and mean pressure measurements on a stadium covering in wind tunnel. J. Wind Eng. Ind. Aerodyn. 84 (2000) 321-328.

DOI: 10.1016/s0167-6105(99)00111-7

Google Scholar

[3] T. Stathopoulos, F. ASCE, P. Saathoff, R. Bedair, Wind pressures on parapets of flat roofs. Journal of Architectural Engineering. 8(2) (2002) 49-54.

DOI: 10.1061/(asce)1076-0431(2002)8:2(49)

Google Scholar

[4] H. W. Tieleman, R. E. Akins, P. R. Sparks: A Comparison of wind-tunnel and full-scale wind pressure measurements on low-rise structures. J. Wind Eng. Ind. Aerodyn. 8 (1981) 3-19.

DOI: 10.1016/0167-6105(81)90003-9

Google Scholar

[5] J. S. Hwang, A. Kareem, H. J. Kim: Wind load identification using wind tunnel test data by Inverse analysis. J. Wind Eng. Ind. Aerodyn. 99 (2011) 18-26.

DOI: 10.1016/j.jweia.2010.10.004

Google Scholar