Maintenance Planning for Rail Asset Management—Current Practices (2020) / Chapter Skim
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Pages 23-28
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From page 23... ...
23 4.1 Defect Rate Analysis The previous chapter presented the direct results of the survey. This chapter attempts to look at the survey data in a more focused fashion in an effort to identify the relationship among transit system size, level of traffic, development of rail defects, and need for increased testing.
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From page 24... ...
24 Maintenance Planning for Rail Asset Management -- Current Practices 0 0.2 0.4 0.6 0.8 1 1.2 0 2,000 4,000 6,000 8,000 10,000 12,000 D ef ec ts /M ile Million Passenger Miles Defects per track mile 2019 Defects per track mile 2018 Figure 22. Defects per track mile as function of passenger miles.
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From page 25... ...
Evaluation of Survey Results 25 the size of the bubbles in the chart indicates the number of defects found by a specific transit system in 2019. Less of a correlation, however, is found among system size, frequency of visual inspection, and number of defects found.
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From page 26... ...
26 Maintenance Planning for Rail Asset Management -- Current Practices effect on the quantity of broken rails a system experiences. Note the two small systems with a disproportionate number of broken rails for their size: these will be addressed further in the case examples.
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From page 27... ...
Evaluation of Survey Results 27 Chicago's Transit Authority also reported broken rails from cold weather. Two of these transit systems with significant numbers of broken rails -- Minneapolis and Chicago -- were selected for follow-up case examples, which will be discussed in greater detail later in this report.
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From page 28... ...
28 Maintenance Planning for Rail Asset Management -- Current Practices 4.4 Broken Rail Derailments The number of broken rail derailments over the past 5 years was examined next. Only four systems had derailments attributable to broken rails in the past 5 years.
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