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2020 | OriginalPaper | Chapter

Condition Stages Identification for Railway Crossing Monitoring System

Authors : Xiangming Liu, Valeri L. Markine

Published in: Advances in Dynamics of Vehicles on Roads and Tracks

Publisher: Springer International Publishing

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Abstract

In the structural health monitoring for railway crossings, identifying the condition stages of the crossing elements is an important step for the crossing condition assessment. This paper presents the condition stages identification procedure using the multi-body system method. This study is carried out on the 1:9 crossings that are most commonly used in the Dutch railway and suffering a lot from damages. By introducing different types of damage into the vehicle-crossing model and compare the dynamic responses with the measurement results, the condition stages of the monitored crossing can be identified. The simulation results show that the development of vertical irregularity and clip damage are clearly reflected on the change of wheel-rail contact force and the rail vertical acceleration. The findings of this study can be further applied in the structural health monitoring (SHM) system for railway crossings developed by TU Delft.

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Literature
1.
go back to reference Huston, D.: Structural Sensing, Health Monitoring, and Performance Evaluation. University of Vermont, Burlington (2011) Huston, D.: Structural Sensing, Health Monitoring, and Performance Evaluation. University of Vermont, Burlington (2011)
2.
go back to reference Liu, X., Markine, V.L., Wang, H., Shevtsov, I.Y.: Experimental tools for railway crossing condition monitoring. Measurement 129, 424–435 (2018)CrossRef Liu, X., Markine, V.L., Wang, H., Shevtsov, I.Y.: Experimental tools for railway crossing condition monitoring. Measurement 129, 424–435 (2018)CrossRef
3.
go back to reference Wegdam, J.J.J.: Expert tool for numerical & experimental assessment of turnout crossing geometry. M.Sc. thesis, Delft University of Technology, Delft, the Netherlands (2018) Wegdam, J.J.J.: Expert tool for numerical & experimental assessment of turnout crossing geometry. M.Sc. thesis, Delft University of Technology, Delft, the Netherlands (2018)
4.
go back to reference VI-grade GmbH, VI-Rail 16.0 Documentation, © 2014 VI-grade engineering software & services, Marburg, Germany (2014) VI-grade GmbH, VI-Rail 16.0 Documentation, © 2014 VI-grade engineering software & services, Marburg, Germany (2014)
5.
go back to reference Liu, X., Markine, V.L.: Validation and Verification of the MBS Model for the Dynamic Performance Study of Railway Crossings. Engineering Structures (submitted) Liu, X., Markine, V.L.: Validation and Verification of the MBS Model for the Dynamic Performance Study of Railway Crossings. Engineering Structures (submitted)
Metadata
Title
Condition Stages Identification for Railway Crossing Monitoring System
Authors
Xiangming Liu
Valeri L. Markine
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-38077-9_21

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