Journal
STRUCTURE AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/15732479.2023.2275684
Keywords
Time-frequency analysis; reconstruction of acceleration; instantaneous frequency tracking; resolution of representation; root mean square; operational conditions; synchrosqueezed transform
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This study aims to accurately and effectively investigate the instantaneous frequency and individual components of the monitored acceleration of bridges using advanced time-frequency techniques. The magnitude and relative importance of each component are obtained by analyzing the monitored acceleration of the Humber Bridge. This method is suitable for multicomponent monitored data.
This study aims to accurately and effectively investigate the instantaneous frequency (IF) of the monitored acceleration of the bridge, as well as the individual components of the monitored signal, using advanced time-frequency techniques. To achieve this, first, synthetic signals resembling the monitored acceleration are constructed and processed using four time-frequency techniques. The accuracy of IF tracking, signal reconstruction, and representation resolution are obtained and compared between these different time-frequency techniques. Subsequently, the monitored vertical and torsional accelerations from the Humber Bridge are analysed using the Fourier synchrosqueezed transform and the improved multisynchrosqueezing transform. This allows for the reconstruction of individual acceleration components along with the corresponding variation of the natural frequency. The magnitude of each component of the monitored acceleration is then obtained. The relative importance of modes in the monitored acceleration is evaluated based on the acceleration root mean square. This study presents a novel approach that involves reconstructing the monitored acceleration and assessing the magnitude of individual components of the monitored data of the bridge under operational conditions using the advanced time-frequency method. The method is particularly suitable for addressing multicomponent monitored data and is expected to benefit future practical research in the bridge health monitoring field.
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