TY - JOUR
T1 - Reliability-based life cycle costing analysis for embedded rails in level crossings
AU - Shang, Yue
AU - van den Boomen, Martine
AU - de Man, Amy
AU - Wolfert, Rogier
PY - 2019
Y1 - 2019
N2 - Reliability-based life cycle costing analysis (LCCA) supports optimized decisions on capital and operational expenditures for engineering asset management. In addition, it allows investigation of the impact of maintenance decisions on designing the service life of assets. The application of reliability-based LCCA in railway practice is challenging, as there is limited research with regard to integrating maintenance strategies, reliability and costs especially for embedded rail systems. Therefore, in this research, an LCCA model for these embedded rail system assets has been developed, which shows the optimum between the actual reliability profile, financial parameters and maintenance policies for specific variable conditions. This model incorporates both the uncertainties associated with degradation and maintenance strategies which have been integrated into a discounted age replacement model. This model facilitates a better understanding about the interaction among life cycle cost, rail degradation and maintenance strategies for a set of variable conditions. The output supports decision making on rail replacement and/or maintenance engineering. The model is demonstrated in a case study and validated with available (real) failure data from Dutch railroad service contractors. The potential of the applicability to ballasted tracks is also demonstrated.
AB - Reliability-based life cycle costing analysis (LCCA) supports optimized decisions on capital and operational expenditures for engineering asset management. In addition, it allows investigation of the impact of maintenance decisions on designing the service life of assets. The application of reliability-based LCCA in railway practice is challenging, as there is limited research with regard to integrating maintenance strategies, reliability and costs especially for embedded rail systems. Therefore, in this research, an LCCA model for these embedded rail system assets has been developed, which shows the optimum between the actual reliability profile, financial parameters and maintenance policies for specific variable conditions. This model incorporates both the uncertainties associated with degradation and maintenance strategies which have been integrated into a discounted age replacement model. This model facilitates a better understanding about the interaction among life cycle cost, rail degradation and maintenance strategies for a set of variable conditions. The output supports decision making on rail replacement and/or maintenance engineering. The model is demonstrated in a case study and validated with available (real) failure data from Dutch railroad service contractors. The potential of the applicability to ballasted tracks is also demonstrated.
KW - embedded rail system
KW - Life cycle cost
KW - rail
KW - reliability
KW - replacement
UR - http://www.scopus.com/inward/record.url?scp=85070247243&partnerID=8YFLogxK
U2 - 10.1177/0954409719866359
DO - 10.1177/0954409719866359
M3 - Article
SN - 0954-4097
VL - 234 (2020)
SP - 821
EP - 833
JO - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
JF - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
IS - 8
ER -