Wind and Structures

Techno-Press (테크노프레스)
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Windproof ability of aerodynamic measures to improve the wind environment above a truss girder

  • Wang, Zewen (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Tang, Haojun (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Li, Yongle (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Guo, Junjie (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Liu, Zhanhui (Department of Bridge Engineering, Southwest Jiaotong University)
  • Received : 2019.04.06
  • Accepted : 2021.04.11
  • Published : 2021.05.25
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Abstract

Aerodynamic measures have been widely used for improving the flutter stability of long-span bridges, and this paper focuses their windproof ability to improve the wind environment for vehicles. The whole wind environment around a long-span bridge located in high altitude mountainous areas is first studied. The local wind environment above the deck is then focused by two perspectives. One is the windproof effects of aerodynamic measures, and the other is whether the bridge with aerodynamic measures meets the requirement of flutter stability after installing extra wind barriers in the future. Furthermore, the effects of different wind barriers are analyzed. Results show that aerodynamic measures exert potential effects on the local wind environment, as the vertical stabilizer obviously reduces wind velocities behind it while the closed central slot has limited effects. The suggested aerodynamic measures have the ability to offset the adverse effect of the wind barrier on the flutter stability of the bridge. Behind the wind barrier, wind velocities decrease in general, but in some places incoming flow has to pass through the deck with higher velocities due to the increase in blockage ratio. Further comparison shows that the wind barrier with four bars is optimal.

Keywords

Acknowledgement

The authors are grateful for the financial supports from Sichuan Science and Technology Program (2019YFG0460), the National Natural Science Foundation of China (Grants 51708463, 51525804).

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