Buffeting responses of a cable-stayed bridge during the typhoon Kompasu

Park, J; Kim, Ho-Kyung; Lee, H; Koh, Hun Yeong; Cho, S

doi:10.1201/b12352-162

Cited by 1 publication

(1 citation statement)

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“…In recent years, non-stationary wind models have also been adopted by many (Chen et al 2007;Chen 2015;Hu et al , 2017McCullough et al 2014;Tao et al 2017;Wang et al 2016;Xu and Chen 2004). Despite analytical efforts, few attempts have been made toward validation of these methods using full-scale measurements (Bietry et al 1995;Cheynet et al 2016;Macdonald 2003;Park et al 2012;Wang et al 2011Wang et al , 2013Xu and Zhu 2005b). Although satisfactory predictions were obtained by some, significant discrepancies were also observed, especially in the case of complex terrain, where the wind is variable, nonstationary and not homogenous.…”

Section: Introductionmentioning

confidence: 99%

Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm

Fenerci

2018

Journal of Wind Engineering and Industrial Aerodynamics

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As Storm Tor struck the western coast of Norway, wind speeds and bridge deck accelerations along the Hardanger Bridge girder were recorded by the monitoring system installed on the bridge. Using 13.5 hours of data, mean wind speed, turbulence intensities, gust factor, turbulence length scales, angle-ofattack, and one-point and two-point turbulence spectra are studied using 10-minute stationary averaging intervals. Using the measured turbulence statistics as inputs, the buffeting response of the bridge deck is calculated in the frequency domain. The calculated response is compared with the measured response in terms of the root-mean-square (RMS) of acceleration and displacement components and the power spectral density of the acceleration response. Significant discrepancies are found in the case of the vertical response. Predicting the spectral response is found to be more difficult than predicting the RMS response, in particular for high-frequency responses. Considering the spanwise non-uniformity of turbulence statistics did not affect the predictions significantly.

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Section: Introductionmentioning

confidence: 99%

Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm

Fenerci

2018

Journal of Wind Engineering and Industrial Aerodynamics

View full text Add to dashboard Cite

show abstract

Buffeting responses of a cable-stayed bridge during the typhoon Kompasu

Cited by 1 publication

References 2 publications

Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm

Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm

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