Risk-Based Maintenance Planning for Rail Fastening Systems
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 5, Issue 3
Abstract
Failures in rail fasteners can lead to misalignments of the rails and even cause a train derailment. Current inspection and maintenance regimes for rail fasteners, however, do not adequately address the credible failure modes found in the field. In response to these improvement opportunities, a risk-based maintenance philosophy, driven by a risk management framework, is proposed for rail fasteners. The framework was primarily developed from international standards alongside high-level industry guidelines. Reliability tools were then incorporated, allowing practitioners to arrive at an appropriate combination of reliability tools based on the circumstances under which the assessment is to be conducted. Monte Carlo simulations were undertaken on the embedded anchors of rail fasteners to demonstrate how the resultant framework can be innovatively adopted in practice. The general findings highlight that accurate risk depiction is vital for track components (e.g., embedded anchors, the failure modes of which are dependent on time); thereby, the time frames in which risk for the component transits to different risk categories should be obtained. Note that the finding is unique to the example; thus, the proposed risk framework should be treated carefully before it is applied to other failure modes.
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Acknowledgments
All authors are sincerely grateful to the European Commission for its financial sponsorship of H2020-RISE Project No. 691135 “RISEN: Rail Infrastructure Systems Engineering Network,” which enables a global research network that tackles the grand challenge in railway infrastructure resilience and advanced sensing.
References
Ahn, J., and D. Chang. 2016. “Fuzzy-based HAZOP study for process industry.” J. Hazard. Mater. 317: 303–311. https://doi.org/10.1016/j.jhazmat.2016.05.096.
Arunraj, N. S., S. Mandal, and J. Maiti. 2013. “Modeling uncertainty in risk assessment: An integrated approach with fuzzy set theory and Monte Carlo simulation.” Accid. Anal. Prev. 55: 242–255. https://doi.org/10.1016/j.aap.2013.03.007.
Asset Standards Authority. 2013. Guide to transport for NSW framework for assuring the safety of rail assets and infrastructure. Chatswood, Australia: Transport for NSW.
Barlo, T., and A. Zdunek. 1995. Stray current corrosion in electrified rail systems. Washington, DC: DOT.
Duan, Y., J. Zhao, J. Chen, and G. Bai. 2016. “A risk matrix analysis method based on potential risk influence: A case study on cryogenic liquid hydrogen filling system.” Process Saf. Environ. Prot. 102: 277–287. https://doi.org/10.1016/j.psep.2016.03.022.
Dumbrava, V., and V.-S. Iacob. 2013. “Using probability—Impact matrix in analysis and risk assessment projects.” J. Knowl. Manage. Econ. Inf. Technol. 76–96.
Federal Railroad Administration. 2011. Effect of missing or broken fasteners on gage restraint of concrete ties. Washington, DC: US Dept. of Transportation.
Institute of Asset Management. 2008. PAS 55:12008 Asset management. Delhi, India: BSI.
International Council on Systems Engineering. 2015. Systems engineering handbook—A guide for system life cycle processes and activities. 4th ed. San Diego: Wiley.
ISO. 2008. Systems and software engineering—System life cycle processes. ISO/IEC 15288:2008. Geneva: ISO.
ISO. 2009. Risk management—Principles and guidelines. BS ISO 31000:2009. Geneva: ISO.
Kernes, R. G., A. A. Shurpali, J. R. Edwards, M. S. Dersch, D. A. Lange, and C. P. L. Barkan. 2014. “Investigation of the mechanics of rail seat deterioration and methods to improve the abrasion resistance of concrete sleeper rail seats.” Proc. Inst. Mech. Eng. F Rail Rapid Transit 228 (6): 581–589. https://doi.org/10.1177/0954409714530911.
Network Rail. 2009. Inspection and maintenance of permanent way—Inspection. London: Network Rail.
Network Rail. 2017. Prioritisations, reprioritisations and cancellations. London: Network Rail.
Office of Transport Safety Investigations. 2014. Rail safety investigation report—Main line rail defect, Boronia No. 3 Tunnel. Sydney: Office of Transport Safety Investigations.
Quality-One International. 2017. Failure mode and effects analysis (FMEA). Clawson, MI: Quality-One International.
RailCorp Network. 2013. TMC 203: Track inspection. Engineering manual: Track. Sydney, Australia: RailCorp Network.
RailCorp Network. 2016. MN A 00100: Civil and track technical maintenance (extracted from formerly ESC 100). Engineering Manual: Common. Sydney, Australia: Sydney Trains.
Robert, B. A. 1996. The New Weibull handbook. 2nd ed. Oxford, UK: Elsevier.
Shi, L., J. Shuai, and K. Xu. 2014. “Fuzzy fault tree assessment based on improved AHP for fire and explosion accidents for steel oil storage tanks.” J. Hazard. Mater. 278: 529–538. https://doi.org/10.1016/j.jhazmat.2014.06.034.
Sutton, I. 2010. Process risk and reliability management. Burlington, MA: Elsevier.
Zhao, J., A. Chan, and M. Burrow. 2007. “Reliability analysis and maintenance decision for railway sleepers using track condition information.” J. Oper. Res. Soc. 58 (8): 1047–1055. https://doi.org/10.1057/palgrave.jors.2602251.
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©2019 American Society of Civil Engineers.
History
Received: Aug 23, 2018
Accepted: Dec 20, 2018
Published online: May 31, 2019
Published in print: Sep 1, 2019
Discussion open until: Oct 31, 2019
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