Research on Bayesian Estimation Method for Vibration Mode of Long Cable-Stayed Bridges Based on Uncertain Statistics
With the development of large-scale cable-stayed bridge infrastructure both domestically and internationally,the monitoring and evaluation of the operational status of large-scale bridges has gradually become a hot industry issue closely related to traffic safety.Numerous studies in the industry have shown that the continuous micro seismic modal characteristics of cable-stayed bridges rapidly change based on measured wind speed changes,and this environmental dependence requires further in-depth research.This study established a statistical model of the dynamic system by using sustained micro seismic modal analysis,analyzed the frequency evaluation to identify vibration modes in the frequency domain and independently verified the identification results,and then compared the results with the time-domain vibration mode identification results.The results of the coefficient of variation and signal-to-noise ratio obtained through Bayesian estimation indicate that the vibration modal characteristics proposed by existing research can be directly evaluated.Its evaluation method has certain theoretical value and engineering application value.
cable-stayed bridgemodal identificationBayesian estimationambient vibrationstructural health monitoring
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