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Article

Railway Track Loss-of-Stiffness Detection Using Bogie Filtered Displacement Data Measured on a Passing Train

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Structural Dynamics and Assessment Laboratory, School of Civil Engineering, University College Dublin, D04V1W8 Dublin, Ireland
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School of Civil Engineering, University College Dublin, D04V1W8 Dublin, Ireland
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Murphy Geospatial, Global House, Kilcullen Business Campus, R56K376 Kilcullen, Ireland
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Department of Structural Engineering, Norwegian University of Science & Technology, 7491 Trondheim, Norway
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School of Computer Science, University College Dublin, D04V1W8 Dublin, Ireland
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Author to whom correspondence should be addressed.
Academic Editor: Minwoo Chang
Infrastructures 2021, 6(6), 93; https://doi.org/10.3390/infrastructures6060093
Received: 18 May 2021 / Revised: 14 June 2021 / Accepted: 16 June 2021 / Published: 21 June 2021
(This article belongs to the Special Issue Structural Assessment and Health Monitoring of Infrastructures)
This paper presents an innovative numerical framework for railway track monitoring using acceleration measurements from sensors installed on a passenger train. A numerical model including a 10 degrees of freedom train passing over a three-layer track is employed. The bogie filtered displacement (BFD) is obtained from the bogie vertical acceleration using a numerical integration method and a band-pass filter. The BFD is compared to the filtered track longitudinal profile and can be seen to contain the main features of the track profile. This is also experimentally confirmed using field measurements where an in-service Irish Rail train was instrumented using inertial sensors. The proposed algorithm is employed to find the BFDs from the bogie accelerations. A track level survey was also undertaken to validate the measurements. It is shown that the BFDs from several passes are in good agreement with the surveyed profile. Finally, the BFDs are numerically used to find track defects such as hanging sleepers. The mean of the BFDs obtained from two populations of train passes over a healthy and a damaged track are employed to detect the loss of stiffness at the subgrade layer. The effect of the train forward speed variation and measurement noise are also investigated. View Full-Text
Keywords: railway track; monitoring; drive-by; assessment; hanging sleeper; in-service train railway track; monitoring; drive-by; assessment; hanging sleeper; in-service train
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MDPI and ACS Style

Malekjafarian, A.; OBrien, E.J.; Quirke, P.; Cantero, D.; Golpayegani, F. Railway Track Loss-of-Stiffness Detection Using Bogie Filtered Displacement Data Measured on a Passing Train. Infrastructures 2021, 6, 93. https://doi.org/10.3390/infrastructures6060093

AMA Style

Malekjafarian A, OBrien EJ, Quirke P, Cantero D, Golpayegani F. Railway Track Loss-of-Stiffness Detection Using Bogie Filtered Displacement Data Measured on a Passing Train. Infrastructures. 2021; 6(6):93. https://doi.org/10.3390/infrastructures6060093

Chicago/Turabian Style

Malekjafarian, Abdollah, Eugene J. OBrien, Paraic Quirke, Daniel Cantero, and Fatemeh Golpayegani. 2021. "Railway Track Loss-of-Stiffness Detection Using Bogie Filtered Displacement Data Measured on a Passing Train" Infrastructures 6, no. 6: 93. https://doi.org/10.3390/infrastructures6060093

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