Wind and Structures

  • 제36권1호
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  • Pages.41-60
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  • 2023
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Study on the size reduction factor of extreme wind pressure of facade cladding of high-rise buildings with square section

  • Xiang Wang (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University) ;
  • Yong Quan (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University) ;
  • Zhengwei Zhang (Jiangsu College of Engineering and Technology) ;
  • Ming Gu (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University)
  • 투고 : 2022.04.05
  • 심사 : 2022.12.06
  • 발행 : 2023.01.26
⟨ 이전 논문 다음 논문 ⟩

초록

The effect of cladding panel size on the size reduction factor (SRF) of extreme area-averaging wind pressure (EAWP) on the facades of a high-rise building is often ignored in previous studies. Based on wind tunnel tests, this study investigated the horizontal and vertical correlations of wind pressure on the facade claddings of square-section high-rise buildings. Then, the influencing parameters on the SRF of the EAWP on the cladding panels were analyzed, which were the panel area, panel width, panel length and building width. The results show clear regional distinctions in the correlation of wind pressures on the building facades and the rules of the horizontal and vertical correlations are remarkably different, which causes the cladding size ratio to impact the SRF significantly. Therefore, this study suggests the use of the non-dimensional comprehensive size parameter b𝜶h1-𝜶/B (𝜶 is the fitting parameter) determined by the cladding panel horizontal size b, cladding panel vertical size h and the building width B rather than the cladding panel area to describe the variation of the EAWP. Finally, some empirical formula for the SRF of the EAWP on the cladding of a high-rise building is proposed with the nondimensional comprehensive size parameter.

키워드

과제정보

The authors gratefully acknowledge the support of the National Natural Science Foundation of China (grant number 51778493) and the State Key Laboratory for Disaster Reduction in Civil Engineering (grant number SLDRCE15- B-03).

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