Prediction analysis of vortex-induced vibration of long-span suspension bridge based on monitoring data

Abstract

Vortex-induced vibration (VIV) is a kind of wind-induced vibration that occurs at low wind speeds. The actual effect of VIV in bridges is different from that in wind tunnels and has a severe impact on traffic safety. Therefore, to guide the bridge management department in taking reasonable control measures in the initial stage of VIV and ensure that vehicles pass over the bridge safely, an identification model for VIV is established based on a large amount of data collected from Zhoushan Sea Crossing Bridge. Firstly, the wind field and vibration characteristic parameters of VIV are calculated based on data measured from 2014 to 2016 by anemometers and acceleration sensors. Then, by the big-data significant differences method and distribution function fitting analysis, two wind field parameters and two vibration response parameters are determined to serve as indexes in the identification of VIV. Finally, based on a parameter optimization algorithm, the VIV identification model is established and the data of 2017 are used to test the prediction model. The results show that the recognition rate of VIV is 89% and the identification model can be used to warn about the occurrence of VIV in practical engineering.