Spatial–Temporal Model to Identify the Deformation of Underlying High-Speed Railway Infrastructure
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 8
Abstract
Railway track geometry is generally understood to be influenced by the deformation of the track infrastructure. This study developed a spatial–temporal identification model for the deformation of the underlying high-speed railway infrastructure, including simply supported beams and track slabs based upon track geometry data collected between 2016 and 2019. To achieve this, we first preprocessed the data, including data collection and cleaning. Next, we developed a track irregularity degradation indicator (TIDI) for different track infrastructures using wavelet coefficients. Then, we combined the TIDIs of 40 inspection runs over 3 years to obtain the TIDI distribution matrixes in the spatial and temporal domains for different track infrastructures. In the spatial domain, we extracted the most probable abnormal position of the track slab using kernel density estimation. In the temporal domain, we developed a logarithmic–linear regression model and noted that the growth trend of the TIDI of the abnormal bridge gradually slows with time.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.
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Track geometry data are owned by China Railway Chengdu Bureau Group. They are proprietary and require permission for distribution.
Acknowledgments
This study was funded by the China Natural Science Foundation (CNSF) under Grant No. 51878576. The authors would like to express their sincere thanks for the support from the CNSF.
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©2020 American Society of Civil Engineers.
History
Received: Dec 13, 2019
Accepted: Mar 25, 2020
Published online: Jun 11, 2020
Published in print: Aug 1, 2020
Discussion open until: Nov 11, 2020
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