Fibre Optic Sensing as Innovative Tool for Evaluating Railway Track Condition?

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Abstract

The condition and deterioration of a railway track over time has a major influence on its maintenance demands, service life and consequently its life cycle costs. Railway track condition is currently assessed on the basis of manual inspections, wayside equipment and measurements performed by a measurement car. This paper deals with combining the advantages of above assessment technologies, allowing continuous and permanent measurements for the entire network. On the one hand, we use Distributed Acoustic Sensing, a methodology relying on the effect of Rayleigh backscattering. This technology uses fibre optic cables, which are already installed in cable troughs alongside railway tracks and used for telecommunication or signalling. On the other hand, fractal analysis of vertical track geometry allows for a component-specific condition evaluation, i.e. distinguishing the root cause of an irregularity in track geometry. Correlating both methodologies should show whether or not/to what and to what extent this innovative methodology of using fibre optic cables is applicable for assessing the component specific condition of a railway track. The proposed combination of both methodologies paves the way for real time condition assessment of railway track.
Originalspracheenglisch
TitelInternational Conference on Smart Infrastructure and Construction 2019 (ICSIC)
UntertitelDriving data-informed decision-making
Redakteure/-innenMJ DeJong, JM Schooling, GMB Viggiani
Erscheinungsort One Great George Street, Westminster, London SW1P 3A
Herausgeber (Verlag)ICE Publishing
KapitelAsset Management
Seiten107
Seitenumfang114
ISBN (elektronisch)978-0-7277-6467-6
ISBN (Print)9780727764669
DOIs
PublikationsstatusElektronische Veröffentlichung vor Drucklegung. - 18 Jul 2019
VeranstaltungInternational Conference on Smart Infrastructure and Construction 2019 - Churchill College , Cambridge, Großbritannien / Vereinigtes Königreich
Dauer: 8 Jul 201910 Jul 2019
https://www.icsic2019.eng.cam.ac.uk/Programme

Konferenz

KonferenzInternational Conference on Smart Infrastructure and Construction 2019
KurztitelICSIC 2019
LandGroßbritannien / Vereinigtes Königreich
OrtCambridge
Zeitraum8/07/1910/07/19
Internetadresse

Fingerprint

Fiber optics
German Federal Railways
communication technology
Optical cables
Inspection equipment
methodology
Geometry
Backscattering
Service life
Fractals
Telecommunication
Deterioration
mathematics
Life cycle
Cables
Railroad cars
Acoustics
technology assessment
life cycle
acoustics

Schlagwörter

    ASJC Scopus subject areas

    • !!Civil and Structural Engineering
    • !!Transportation

    Fields of Expertise

    • Sustainable Systems

    Dies zitieren

    Vidovic, I., & Landgraf, M. (2019). Fibre Optic Sensing as Innovative Tool for Evaluating Railway Track Condition? in MJ. DeJong, JM. Schooling, & GMB. Viggiani (Hrsg.), International Conference on Smart Infrastructure and Construction 2019 (ICSIC): Driving data-informed decision-making (S. 107). One Great George Street, Westminster, London SW1P 3A: ICE Publishing. https://doi.org/10.1680/icsic.64669.107

    Fibre Optic Sensing as Innovative Tool for Evaluating Railway Track Condition? / Vidovic, Ivan; Landgraf, Matthias.

    International Conference on Smart Infrastructure and Construction 2019 (ICSIC): Driving data-informed decision-making. Hrsg. / MJ DeJong; JM Schooling; GMB Viggiani. One Great George Street, Westminster, London SW1P 3A : ICE Publishing, 2019. S. 107.

    Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

    Vidovic, I & Landgraf, M 2019, Fibre Optic Sensing as Innovative Tool for Evaluating Railway Track Condition? in MJ DeJong, JM Schooling & GMB Viggiani (Hrsg.), International Conference on Smart Infrastructure and Construction 2019 (ICSIC): Driving data-informed decision-making. ICE Publishing, One Great George Street, Westminster, London SW1P 3A, S. 107, Cambridge, Großbritannien / Vereinigtes Königreich, 8/07/19. https://doi.org/10.1680/icsic.64669.107
    Vidovic I, Landgraf M. Fibre Optic Sensing as Innovative Tool for Evaluating Railway Track Condition? in DeJong MJ, Schooling JM, Viggiani GMB, Hrsg., International Conference on Smart Infrastructure and Construction 2019 (ICSIC): Driving data-informed decision-making. One Great George Street, Westminster, London SW1P 3A: ICE Publishing. 2019. S. 107 https://doi.org/10.1680/icsic.64669.107
    Vidovic, Ivan ; Landgraf, Matthias. / Fibre Optic Sensing as Innovative Tool for Evaluating Railway Track Condition?. International Conference on Smart Infrastructure and Construction 2019 (ICSIC): Driving data-informed decision-making. Hrsg. / MJ DeJong ; JM Schooling ; GMB Viggiani. One Great George Street, Westminster, London SW1P 3A : ICE Publishing, 2019. S. 107
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    abstract = "The condition and deterioration of a railway track over time has a major influence on its maintenance demands, service life and consequently its life cycle costs. Railway track condition is currently assessed on the basis of manual inspections, wayside equipment and measurements performed by a measurement car. This paper deals with combining the advantages of above assessment technologies, allowing continuous and permanent measurements for the entire network. On the one hand, we use Distributed Acoustic Sensing, a methodology relying on the effect of Rayleigh backscattering. This technology uses fibre optic cables, which are already installed in cable troughs alongside railway tracks and used for telecommunication or signalling. On the other hand, fractal analysis of vertical track geometry allows for a component-specific condition evaluation, i.e. distinguishing the root cause of an irregularity in track geometry. Correlating both methodologies should show whether or not/to what and to what extent this innovative methodology of using fibre optic cables is applicable for assessing the component specific condition of a railway track. The proposed combination of both methodologies paves the way for real time condition assessment of railway track.",
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