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A Petri net model for railway bridge maintenance

Le, Bryant; Andrews, John; Fecarotti, Claudia

Authors

Bryant Le

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management

Claudia Fecarotti



Abstract

This article describes the application of the Petri net modelling approach to managing the maintenance process of railway bridges. The Petri net model accounts for the degradation, inspection and repair processes of individual bridge elements in investigating the effectiveness of alternative maintenance strategies. The times governing the degradation and repair processes considered are stochastic and defined by the appropriate Weibull distribution. The model offers a capability for modelling the bridge asset which overcomes the limitations in the currently used modelling techniques reported in the literature. The bridge model also provides a means of predicting the future asset condition as a result of adopting different maintenance strategies. The solution of the Petri net model is performed using a Monte Carlo simulation routine. The application of the model to a typical metal railway bridge is also presented in the article.

Citation

Le, B., Andrews, J., & Fecarotti, C. (2017). A Petri net model for railway bridge maintenance. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(3), https://doi.org/10.1177/1748006X17701667

Journal Article Type Article
Acceptance Date Feb 26, 2017
Online Publication Date Apr 5, 2017
Publication Date Jun 1, 2017
Deposit Date Sep 15, 2017
Publicly Available Date Sep 15, 2017
Journal Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Print ISSN 1748-006X
Electronic ISSN 1748-0078
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 231
Issue 3
DOI https://doi.org/10.1177/1748006X17701667
Keywords Bridge, asset management, degradation, lifetime analysis, Weibull distribution, Petri net, Monte Carlo
Public URL http://eprints.nottingham.ac.uk/id/eprint/46450
Publisher URL http://journals.sagepub.com/doi/10.1177/1748006X17701667
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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