Abstract
The wind-rain induced vibration phenomena in the Dongting Lake Bridge (DLB) can be observed every year, and the field measurements of wind speed data of the bridge are usually nonstationary. Nonstationary wind speed can be decomposed into a deterministic time-varying mean wind speed and a zero-mean stationary fluctuating wind speed component. By using wavelet transform (WT), the time-varying mean wind speed is extracted and a nonstationary wind speed model is proposed in this paper. The wind characteristics of turbulence intensity, integral scale and probability distribution of the bridge are calculated from the typical wind samples recorded by the two anemometers installed on the DLB using the proposed nonstationary wind speed model based on WT. The calculated results are compared with those calculated by the empirical mode decomposition (EMD) and traditional approaches. The compared results indicate that the wavelet-based nonstationary wind speed model is more reasonable and appropriate than the EMD-based nonstationary and traditional stationary models for characterizing wind speed in analysis of wind-rain-induced vibration of cables.
Highlights
Under the simultaneous occurrence of moderate wind and rain, cables in cable-stayed bridges are prone to excessive and unanticipated vibration due to large flexibility, relatively small mass and low inherent damping have been reported in a number of cable-stayed bridges worldwide [1,2,3]
The wind characteristics of turbulence intensity, integral scale and probability distribution of the bridge are calculated from the typical wind samples recorded by the two anemometers installed on the Dongting Lake Bridge (DLB) using the proposed nonstationary wind speed model based on wavelet transform (WT)
This paper aims to seek a wavelet-based method to investigate wind characteristics on basis of the field measured wind data of the Dongting Lake Bridge (DLB) in Hunan, China
Summary
Under the simultaneous occurrence of moderate wind and rain, cables in cable-stayed bridges are prone to excessive and unanticipated vibration due to large flexibility, relatively small mass and low inherent damping have been reported in a number of cable-stayed bridges worldwide [1,2,3]. This vibration can cause reduced cable and connection life due to fatigue or rapid deterioration of the corrosion protection system and may result in the loss of public confidence in the bridge [4]. Sonable and appropriate than traditional and EMD-based approaches for characterizing wind speed in analysis of wind-rain-induced vibration of cables
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