4.5 Article

Exploring Time-Varying Characteristics in Drive-By Bridge Frequency Extraction with the Second-Order Synchrosqueezing Transform

期刊

JOURNAL OF BRIDGE ENGINEERING
卷 28, 期 4, 页码 -

出版社

ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/JBENF2.BEENG-5979

关键词

Vehicle-bridge interaction; Time-frequency analysis; Synchrosqueezing transform; Bridge; Drive-by monitoring; Structural health monitoring (SHM)

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Recently, there has been growing attention towards drive-by bridge structural health monitoring, which involves estimating the bridge's first natural frequency through indirect measurements of passing vehicles due to its low cost and convenience. This paper presents a non-linear time-frequency analysis approach using the second-order synchrosqueezing transform to examine the time-varying nature of frequencies in the vehicle-bridge interaction (VBI) system. The proposed method improves the energy concentration of the time-frequency representations and provides a clear pattern of how the frequencies change.
Recently, due to low cost and convenience, the concept of estimating the bridge's first natural frequency through indirect measurements of a passing vehicle has gained increasing attention-known as drive-by bridge structural health monitoring. As the vehicle acts as a moving mass added to the bridge, this system is nonstationary with time-varying characteristics. Most related studies assume constant bridge and vehicle frequencies of vehicle-bridge interaction (VBI), which is only appropriate when the VBI effect is negligible. When the vehicle mass is significant compared with the bridge mass, often a feature of railway bridges, the interaction effect cannot be ignored. Therefore, this paper presents a nonlinear time-frequency analysis approach to examine the time-varying nature of frequencies in the VBI system using the second-order synchrosqueezing transform. In comparison to the classical linear approaches, such as wavelet transform and short-time Fourier transform, the proposed method can significantly improve the energy concentration of the time-frequency representations, resulting in a clear pattern to show how the frequencies change. In addition, an indicator is proposed to automatically select the parameters with the proposed approach to obtain suitable results. Both numerical simulation and laboratory experiments are carried out to investigate the feasibility of the proposed approach. It is found that due to the time-varying nature of VBI, the frequencies of both vehicles and bridges are time-varying. Therefore, the extracted drive-by bridge frequency should be distinguished from that found using direct (on-bridge free vibration) measurements.

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