DOI QR코드

DOI QR Code

Linear regression analysis of buffeting response under skew wind

  • Guo, Zengwei (State Key Laboratory of Disaster Reduction in Civil Engineering, Department of Bridge Engineering, Tongji University) ;
  • Ge, Yaojun (State Key Laboratory of Disaster Reduction in Civil Engineering, Department of Bridge Engineering, Tongji University) ;
  • Zhao, Lin (State Key Laboratory of Disaster Reduction in Civil Engineering, Department of Bridge Engineering, Tongji University) ;
  • Shao, Yahui (State Key Laboratory of Disaster Reduction in Civil Engineering, Department of Bridge Engineering, Tongji University)
  • 투고 : 2011.11.28
  • 심사 : 2012.04.02
  • 발행 : 2013.03.25

초록

This paper presents a new analysis framework for predicting the internal buffeting forces in bridge components under skew wind. A linear regressive model between the internal buffeting force and deformation under normal wind is derived based on mathematical statistical theory. Applying this regression model under normal wind and the time history of buffeting displacement under skew wind with different yaw angles in wind tunnel tests, internal buffeting forces in bridge components can be obtained directly, without using the complex theory of buffeting analysis under skew wind. A self-anchored suspension bridge with a main span of 260 m and a steel arch bridge with a main span of 450 m are selected as case studies to illustrate the application of this linear regressive framework. The results show that the regressive model between internal buffeting force and displacement may be of high significance and can also be applied in the skew wind case with proper regressands, and the most unfavorable internal buffeting forces often occur under yaw wind.

키워드

참고문헌

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피인용 문헌

  1. Buffeting performance of long-span suspension bridge based on measured wind data in a mountainous region vol.20, pp.1, 2018, https://doi.org/10.21595/jve.2017.18737
  2. Aerodynamic admittance influence on buffeting performance of suspension bridge with streamlined deck vol.21, pp.1, 2013, https://doi.org/10.21595/jve.2018.19681