Defining Rail Track Input Conditions Using an Instrumented Revenue Vehicle

T. L. Chong, M. N. Awad, N. Nadarajah, W. K. Chiu, S.N. Lingamanaik, G. Hardie, R. Ravitharan, H. Widyastuti

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

2 Citations (Scopus)

Abstract

To model the dynamic response of a train running over a given length of rail, the input conditions must be adequately defined. This paper explores the use of an instrumented rail vehicle to assist in the definition of this input condition. The benefits of using instrumented rail vehicle for condition assessment of track and rolling stock are gaining popularity. Railway track and rolling stock condition monitoring is essential in ensuring the safe and efficient function of railway systems. The ability to use an instrumented revenue vehicle for the condition assessment of rail tracks is particularly significant because this capability will not require track access during inspection. This instrumented vehicle can also provide useful data for the definition of the rail track input conditions for the assessment of the stability of a rail vehicle when traversing along the track. This information can be used to establish the wagon speed limits to ensure safe operation of the asset. To be able to predict the dynamic response of a rail vehicle, the dynamic input conditions imposed by the track will need to be identified. This paper will discuss some initial studies on the use of an instrumented rail vehicle to define the input conditions imposed by the rail track. The ability to define the rail input conditions is demonstrated by associating the results with features on the track that are identifiable.

Original languageEnglish
Title of host publicationProceedings of the 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM)
Subtitle of host publication7th to 9th December 2016, Hobart, Tasmania, Australia
EditorsWing Kong Chiu, Steve Galea, Akira Mita, Nobuo Takeda
PublisherElsevier
Pages479-485
Number of pages7
DOIs
Publication statusPublished - 2017
EventAsia-Pacific Workshop on Structural Health Monitoring 2016: From Sensing to Diagnosis and Prognosis - Hobart, Australia
Duration: 7 Dec 20169 Dec 2016
Conference number: 6th

Publication series

NameProcedia Engineering
PublisherElsevier BV
Volume188
ISSN (Electronic)1877-7058

Workshop

WorkshopAsia-Pacific Workshop on Structural Health Monitoring 2016
Abbreviated titleAPWSHM 2016
CountryAustralia
CityHobart
Period7/12/169/12/16

Keywords

  • railway integrity assessment
  • structural health monitoring
  • vibration analysis

Cite this

Chong, T. L., Awad, M. N., Nadarajah, N., Chiu, W. K., Lingamanaik, S. N., Hardie, G., ... Widyastuti, H. (2017). Defining Rail Track Input Conditions Using an Instrumented Revenue Vehicle. In W. K. Chiu, S. Galea, A. Mita, & N. Takeda (Eds.), Proceedings of the 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM): 7th to 9th December 2016, Hobart, Tasmania, Australia (pp. 479-485). (Procedia Engineering; Vol. 188). Elsevier. https://doi.org/10.1016/j.proeng.2017.04.511
Chong, T. L. ; Awad, M. N. ; Nadarajah, N. ; Chiu, W. K. ; Lingamanaik, S.N. ; Hardie, G. ; Ravitharan, R. ; Widyastuti, H. / Defining Rail Track Input Conditions Using an Instrumented Revenue Vehicle. Proceedings of the 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM): 7th to 9th December 2016, Hobart, Tasmania, Australia. editor / Wing Kong Chiu ; Steve Galea ; Akira Mita ; Nobuo Takeda. Elsevier, 2017. pp. 479-485 (Procedia Engineering).
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abstract = "To model the dynamic response of a train running over a given length of rail, the input conditions must be adequately defined. This paper explores the use of an instrumented rail vehicle to assist in the definition of this input condition. The benefits of using instrumented rail vehicle for condition assessment of track and rolling stock are gaining popularity. Railway track and rolling stock condition monitoring is essential in ensuring the safe and efficient function of railway systems. The ability to use an instrumented revenue vehicle for the condition assessment of rail tracks is particularly significant because this capability will not require track access during inspection. This instrumented vehicle can also provide useful data for the definition of the rail track input conditions for the assessment of the stability of a rail vehicle when traversing along the track. This information can be used to establish the wagon speed limits to ensure safe operation of the asset. To be able to predict the dynamic response of a rail vehicle, the dynamic input conditions imposed by the track will need to be identified. This paper will discuss some initial studies on the use of an instrumented rail vehicle to define the input conditions imposed by the rail track. The ability to define the rail input conditions is demonstrated by associating the results with features on the track that are identifiable.",
keywords = "railway integrity assessment, structural health monitoring, vibration analysis",
author = "Chong, {T. L.} and Awad, {M. N.} and N. Nadarajah and Chiu, {W. K.} and S.N. Lingamanaik and G. Hardie and R. Ravitharan and H. Widyastuti",
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Chong, TL, Awad, MN, Nadarajah, N, Chiu, WK, Lingamanaik, SN, Hardie, G, Ravitharan, R & Widyastuti, H 2017, Defining Rail Track Input Conditions Using an Instrumented Revenue Vehicle. in WK Chiu, S Galea, A Mita & N Takeda (eds), Proceedings of the 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM): 7th to 9th December 2016, Hobart, Tasmania, Australia. Procedia Engineering, vol. 188, Elsevier, pp. 479-485, Asia-Pacific Workshop on Structural Health Monitoring 2016, Hobart, Australia, 7/12/16. https://doi.org/10.1016/j.proeng.2017.04.511

Defining Rail Track Input Conditions Using an Instrumented Revenue Vehicle. / Chong, T. L.; Awad, M. N.; Nadarajah, N.; Chiu, W. K.; Lingamanaik, S.N.; Hardie, G.; Ravitharan, R.; Widyastuti, H.

Proceedings of the 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM): 7th to 9th December 2016, Hobart, Tasmania, Australia. ed. / Wing Kong Chiu; Steve Galea; Akira Mita; Nobuo Takeda. Elsevier, 2017. p. 479-485 (Procedia Engineering; Vol. 188).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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AB - To model the dynamic response of a train running over a given length of rail, the input conditions must be adequately defined. This paper explores the use of an instrumented rail vehicle to assist in the definition of this input condition. The benefits of using instrumented rail vehicle for condition assessment of track and rolling stock are gaining popularity. Railway track and rolling stock condition monitoring is essential in ensuring the safe and efficient function of railway systems. The ability to use an instrumented revenue vehicle for the condition assessment of rail tracks is particularly significant because this capability will not require track access during inspection. This instrumented vehicle can also provide useful data for the definition of the rail track input conditions for the assessment of the stability of a rail vehicle when traversing along the track. This information can be used to establish the wagon speed limits to ensure safe operation of the asset. To be able to predict the dynamic response of a rail vehicle, the dynamic input conditions imposed by the track will need to be identified. This paper will discuss some initial studies on the use of an instrumented rail vehicle to define the input conditions imposed by the rail track. The ability to define the rail input conditions is demonstrated by associating the results with features on the track that are identifiable.

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KW - vibration analysis

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PB - Elsevier

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Chong TL, Awad MN, Nadarajah N, Chiu WK, Lingamanaik SN, Hardie G et al. Defining Rail Track Input Conditions Using an Instrumented Revenue Vehicle. In Chiu WK, Galea S, Mita A, Takeda N, editors, Proceedings of the 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM): 7th to 9th December 2016, Hobart, Tasmania, Australia. Elsevier. 2017. p. 479-485. (Procedia Engineering). https://doi.org/10.1016/j.proeng.2017.04.511