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Track geometry degradation and maintenance modelling: A review
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-3266-2434
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Number of Authors: 32018 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 232, no 1, p. 73-102Article in journal (Refereed) Published
Abstract [en]

Increased demand for railway transportation is creating a need for higher train speeds and axle loads. These, in turn,increase the likelihood of track degradation and failures. Modelling the degradation behaviour of track geometry anddevelopment of applicable and effective maintenance strategies has become a challenging concern for railway infrastructuremanagers. During the last three decades, a number of track geometry degradation and maintenance modellingapproaches have been developed to predict and improve the railway track geometry condition. In this paper, existingtrack geometry measures are identified and discussed. Available models for track geometry degradation are reviewedand classified. Tamping recovery models are also reviewed and discussed to identify the issues and challenges of differentavailable methodologies and models. Existing track geometry maintenance models are reviewed and critical observationson each contribution are provided. The most important track maintenance scheduling models are identified and discussed.Finally, the paper provides directions for further research.

Place, publisher, year, edition, pages
Sage Publications, 2018. Vol. 232, no 1, p. 73-102
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-14797DOI: 10.1177/0954409716657849ISI: 000419833100006Scopus ID: 2-s2.0-85040348348Local ID: e3794ef4-cb25-49e0-b55c-a579ff2ea6f5OAI: oai:DiVA.org:ltu-14797DiVA, id: diva2:987770
Note

Validerad;2018;Nivå 2;2018-01-18 (svasva)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-06-28Bibliographically approved

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Soleimanmeigouni, ImanAhmadi, AlirezaKumar, Uday

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