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Detection of high-speed railway subsidence and geometry irregularity using terrestrial laser scanning

Liu, Chun; Li, Nan; Wu, Hangbin; Meng, Xiaolin

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Authors

Chun Liu

Nan Li

Hangbin Wu

Xiaolin Meng



Abstract

Subsidence and geometry deformation monitoring are essential for safe transportation on a high-speed railway. Terrestrial laser scanning (TLS) is able to collect dense three-dimensional point data from the survey scene and achieve highly accurate measurements; therefore, it is considered to be one of the most promising surveying techniques for railway track geometry deformation monitoring. This paper proposes a new approach that uses TLS to detect subsidence and irregularities in a track by fitting boundaries of the cross section of the track. In addition, for a section of local railway, an outdoor experiment was performed to ascertain the feasibility and accuracy of this method. The deformations detected with TLS were compared with the field measurements gathered with other methods such as those from a track inspection car. The results indicate that the subsidence difference between TLS and precise leveling is 2–3 mm, and the difference in the geometric parameters of the tracks is 1–2 mm. Finally, the possible causes of error involved with TLS are discussed.

Citation

Liu, C., Li, N., Wu, H., & Meng, X. (2014). Detection of high-speed railway subsidence and geometry irregularity using terrestrial laser scanning. Journal of Surveying Engineering, 140(3), Article 04014009. https://doi.org/10.1061/%28ASCE%29SU.1943-5428.0000131

Journal Article Type Article
Acceptance Date Dec 10, 2013
Publication Date Dec 12, 2014
Deposit Date Jul 25, 2016
Publicly Available Date Jul 25, 2016
Journal Journal of Surveying Engineering
Print ISSN 0733-9453
Electronic ISSN 1943-5428
Publisher American Society of Civil Engineers
Peer Reviewed Peer Reviewed
Volume 140
Issue 3
Article Number 04014009
DOI https://doi.org/10.1061/%28ASCE%29SU.1943-5428.0000131
Keywords Terrestrial laser scanning; High-speed railway; Safety; Deformation; Monitoring; Fitting boundary
Public URL https://nottingham-repository.worktribe.com/output/740991
Publisher URL http://ascelibrary.org/doi/10.1061/%28ASCE%29SU.1943-5428.0000131

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