Evaluation of rail test frequencies using risk analysis
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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
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Evaluation of rail test frequencies using risk analysis



English
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Details:

  • Creators:
  • Corporate Creators:
    John A. Volpe National Transportation Systems Center (U.S.)
  • Subject/TRT Terms:
  • Publication/ Report Number:
    JRC2009-63009
  • Resource Type:
    Proceedings
  • Corporate Publisher:
    United States. Federal Railroad Administration
  • Abstract:
    Several industries now use risk analysis to develop

    inspection programs to ensure acceptable mechanical integrity

    and reliability. These industries include nuclear and electric

    power generation, oil refining, gas processing, onshore and

    offshore exploration and production, chemical processing, and

    pipelines. Risk analysis may also be used as a decisionmaking

    tool in the railroad industry to develop systematic

    improvements in track maintenance and inspection strategies.

    In the course of conducting research in support of the

    Federal Railroad Administration, a Monte Carlo risk

    assessment model has been developed to simulate certain

    aspects of rail inspection (also referred to as rail testing) to

    find and remove defects that may grow to sufficient size to

    cause rail failures. In this paper, the model is used to examine

    the relationship between the occurrence of rail failures and

    various operational factors. These operational factors include

    rail size, average axle loading, and inspection frequency. In

    addition, the risk assessment model is used to evaluate an

    alternative rail testing concept in which detector cars would

    conduct inspections at speeds higher than those used in

    current practice.

  • Format:
    PDF
  • Collection(s):
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  • File Type:
    Filetype[PDF-196.63 KB]

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