Technical Papers
Aug 25, 2021

A Drive-By Frequency Identification Method for Simply Supported Railway Bridges Using Dynamic Responses of Passing Two-Axle Vehicles

Publication: Journal of Bridge Engineering
Volume 26, Issue 11

Abstract

A drive-by method is proposed to identify the modal frequencies of railway bridges from the dynamic responses of two-axle vehicles. The theoretical closed-form solution and frequency components of the vehicle response are derived based on the vehicle–bridge interaction (VBI) model composed of a two-axle vehicle and a simply supported bridge. The time-domain subtraction method (TSM) is improved and explained for two connected two-axle vehicles to reduce the effect of the track irregularity on the frequency identification of the bridge. The accuracy of the closed-form solution is verified by the finite-element (FE) analysis, indicating that both the vertical and pitching responses can be used for bridge frequency identification. Parametric studies are also conducted to investigate the factors that may affect the frequency identification. The results indicate that the TSM has a good performance and robustness against the track irregularity to ensure good frequency identification. The bridge frequencies with different stiffness can be well-identified regardless of the symmetry and damping of the vehicle, which shows a good prospect for indirect bridge monitoring.

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Acknowledgments

This study was sponsored by the National Natural Science Foundation of China (Grant Nos. 51678032 and 52008160). The financial aid is gratefully acknowledged.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 26Issue 11November 2021

History

Received: Apr 21, 2021
Accepted: Jul 20, 2021
Published online: Aug 25, 2021
Published in print: Nov 1, 2021
Discussion open until: Jan 25, 2022

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Jiawang Zhan [email protected]
Associate Professor, School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China (corresponding author). Email: [email protected]
Ziqian Wang [email protected]
School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
Professor, Key Laboratory for Damage Diagnosis of Engineering Structures of Hunan Province, College of Civil Engineering, Hunan Univ., Changsha 410082, China. ORCID: https://orcid.org/0000-0001-5919-1970. Email: [email protected]
Professor, School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
Chuang Wang [email protected]
Ph.D. Candidate, School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
Hongjun Xiang [email protected]
Professor, School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]

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Cited by

  • Identification of Vibration Frequencies of Railway Bridges from Train-Mounted Sensors Using Wavelet Transformation, Sensors, 10.3390/s23031191, 23, 3, (1191), (2023).
  • Mode Shape Identification and Damage Detection of Bridge by Movable Sensory System, IEEE Transactions on Intelligent Transportation Systems, 10.1109/TITS.2022.3151529, 24, 1, (1299-1313), (2023).
  • Recent Advancements and Future Trends in Indirect Bridge Health Monitoring, Practice Periodical on Structural Design and Construction, 10.1061/PPSCFX.SCENG-1259, 28, 1, (2023).
  • Extraction of bridge mode shapes from the response of a two-axle passing vehicle using a two-peak spectrum idealized filter approach, Mechanical Systems and Signal Processing, 10.1016/j.ymssp.2023.110122, 190, (110122), (2023).
  • An effective procedure for extracting mode shapes of simply-supported bridges using virtual contact-point responses of two-axle vehicles, Structures, 10.1016/j.istruc.2023.01.080, 48, (2082-2097), (2023).
  • Feasibility of Applying Mel-Frequency Cepstral Coefficients in a Drive-by Damage Detection Methodology for High-Speed Railway Bridges, Sustainability, 10.3390/su142013290, 14, 20, (13290), (2022).
  • Simultaneous Identification of Fundamental Frequency, Mode Shape, and Damping of a Bridge by a Passing Vehicle-Trailer System, International Journal of Structural Stability and Dynamics, 10.1142/S0219455422501589, 22, 14, (2022).
  • Recent Advances in Researches on Vehicle Scanning Method for Bridges, International Journal of Structural Stability and Dynamics, 10.1142/S0219455422300051, 22, 15, (2022).

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