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Title: Prioritization of Rail Defect Inspection: A Risk-Based Optimization Approach
Accession Number: 01630550
Record Type: Component
Abstract: Broken rail is the most common type of mainline derailment cause on freight railroads in the United States. Detection and removal of rail defects is important for reducing the risk due to broken-rail-caused derailments. The current practice is to periodically inspect rails using non- destructive technologies, particularly ultrasonic inspection. Determining and prioritizing the frequency of rail defect inspection is an important decision in broken rail risk management. This paper develops a generalized, risk-based mixed integer nonlinear programming (MINLP) model that can optimize segment-specific rail defect inspection frequency to minimize route broken rail risk under limited inspection resources. A number of numerical examples are used to illustrate the application of the model. This analysis shows that the use of an optimization approach can result in a reduction of broken rail risk compared to an empirical heuristic that all segments on the same route are inspected at an equal frequency. The optimization algorithm is being implemented into a computer-aided decision support tool called “Rail Risk Optimizer” that can automatically recommend an optimal segment-specific ultrasonic rail defect inspection frequency given risk factors such as rail age and traffic density. The flexible research methodology and the practice-ready optimization tool can potentially assist the railroad industry to mitigate broken rail risk in a cost-efficient manner.
Supplemental Notes: This paper was sponsored by TRB committee AR060 Standing Committee on Railway Maintenance.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-05054
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Zhou, KangLiu, XiangZhou, YuPagination: 19p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Uncontrolled Terms: Subject Areas: Maintenance and Preservation; Planning and Forecasting; Railroads; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-05054
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 11:57AM
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