Wind and Structures

  • 제32권2호
  • /
  • Pages.89-104
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  • 2021
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Efficient buffeting analysis under non-stationary winds and application to a mountain bridge

  • Su, Yanwen (China Railway Eryuan Engineering Group Co. Ltd) ;
  • Huang, Guoqing (School of Civil Engineering, Chongqing University) ;
  • Liu, Ruili (School of Civil Engineering, Chongqing University) ;
  • Zeng, Yongping (China Railway Eryuan Engineering Group Co. Ltd)
  • 투고 : 2020.10.22
  • 심사 : 2021.01.27
  • 발행 : 2021.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

Non-synoptic winds generated by tornadoes, downbursts or gust fronts exhibit significant non-stationarity and can cause significant wind load effect on flexible structures such as long-span bridges. However, conventional assumptions on stationarity used to evaluate the structural wind-induced vibration are inadequate. In this paper, an efficient frequency domain scheme based on fast CQC method, which can predict non-stationary buffeting random responses of long-span bridges, is presented, and then this approach is applied to evaluate the buffeting response of a long-span suspension bridge located in a complex mountainous wind environment as an example. In this study, the data-driven method based on one available measured wind speed sample is firstly presented to establish non-stationary wind models, including time-varying mean wind speed, time-varying intensity envelope function and uniformly modulated fluctuating spectrum. Then, a linear time-variant (LTV) system based on the proposed scheme can be generally applied to calculate the non-stationary buffeting responses. The effectiveness and accuracy of the proposed scheme are verified through Monte Carlo time domain simulation implemented in ANSYS platform. Also, the transient effect nature of the bridge responses is further illustrated by comparison of the non-stationary, quasistationary and steady-state cases. Finally, buffeting response analysis with traditional stationary treatment (10 min constant mean plus stationary wind fluctuation) is performed to illustrate the importance of the non-stationary characteristics embedded in original wind speed samples.

키워드

참고문헌

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