Correlations between Rail Defect Growth Data and Engineering Analyses, Part II: Field Tests
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Correlations between Rail Defect Growth Data and Engineering Analyses, Part II: Field Tests

Filetype[PDF-287.44 KB]


  • English
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    • Creators:
      Jeong, D Y
    • Corporate Creators:
      John A. Volpe National Transportation Systems Center (U.S.)
    • Subject/TRT Terms:
    • Resource Type:
      Tech Report
    • Geographical Coverage:
      United States
    • TRIS Online Accession Number:
      00969902
    • OCLC Number:
      297659856
    • Corporate Publisher:
      United States. Department of Transportation. Federal Railroad Administration
    • NTL Classification:
      NTL-RAIL TRANSPORTATION-Rail Planning and Policy;NTL-RAIL TRANSPORTATION-Rail Safety;NTL-RAIL TRANSPORTATION-RAIL TRANSPORTATION;NTL-REFERENCES AND DIRECTORIES-Statistics;NTL-SAFETY AND SECURITY-Rail Safety;
    • Abstract:
      This report is the second in a three-part series describing the technical contributions of the Federal Railroad Administration and the Volpe National Transportation Systems Center to the UIC/WEC (International Union of Railways/World Executive Council) joint research project on Rail Defect Management. Specifically, this report describes engineering analyses that are used to examine the growth of internal rail defects that were tested under field conditions. The first report in this series describes similar engineering analyses that were conducted to examine the growth of internal rail defects tested under laboratory conditions. The third report discusses some applications of the rail defect modelling work. The defect growth data described in this report were generated by the Transportation Technology Center, Inc., at a Facility for Accelerated Service Testing in Pueblo, Colorado USA, and by Spoornet in South Africa. Moreover, correlations between the field test data and the results from the engineering fracture mechanics analyses are presented in this report. In general, the correlations between field test data and analysis are reasonable.
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