Wind and Structures

  • 제38권3호
  • /
  • Pages.203-214
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  • 2024
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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

Aerodynamic mitigation of wind loads on a large-span cantilevered roof: A combined wind tunnel and CFD analysis

  • Chen Fubin (School of Civil Engineering, Changsha University of Science and Technology) ;
  • Wang Weijia (School of Civil Engineering, Changsha University of Science and Technology) ;
  • Yang Danqing (School of Civil Engineering, Changsha University of Science and Technology) ;
  • Zhenru Shu (School of Civil Engineering, Central South University)
  • 투고 : 2023.04.19
  • 심사 : 2024.02.10
  • 발행 : 2024.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

Large-span cantilevered roof represents a unique type of structure that is vulnerable to wind loads. Inspired by the need to maximumly reducing the rooftop wind loads, this study examined the feasibility of positioning vented slots on the leading edge, and the effectiveness of such aerodynamic mitigation measures are assessed via both physical and numerical simulations. The reliability of numerical simulation was evaluated via comparisons with the wind tunnel tests. The results indicated that, the variation of venting hole arrangement can cause significant change in the rooftop wind load characteristics. For the cases involved in this study, the maximum reduction of mean and peak wind suction coefficients are found to be 9% and 8% as compared to the original circular slot without venting holes. In addition, the effect of slot shape is also evident. It was shown that the triangular shaped slot tends to increase the wind suction near the leading edge, whereas the hexagonal and octagonal shaped slots are found to decrease the wind suction. In particular, with the installation of octagonal shaped slot, the maximum reduction of wind suction coefficients near the leading edge reaches up to 31% as compared to the circular shaped slot, while the maximum reduction of mean wind suction coefficients is about 30%.

키워드

과제정보

This project was funded by National Natural Science Foundation of China (Project No: 52278479 and 51778072).

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