Effect of Probability of Detection upon the Definition of Inspection Intervals for Railway Axles

The paper considers an axle that is comprised of A1N steel, along with some typical load spectra. The thrust of the research is to provide a reliable estimate for the growth of fatigue cracks in order to optimize inspection intervals for railway wheelsets. Life cycle predictions are determined by applying an algorithm derived from NASGRO®, a dedicated software program. The software program is also used for obtain data affecting service loads. To determine the total probability of observing cracks or defects during periodic inspections, life cycle estimates and detection curve probability are analyzed under a variety of non-destructive testing techniques.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09544097
• Authors:
  • Carboni, M
  • Beretta, S
• Publication Date: 2007-9

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Figures; Illustrations; References; Tables;
• Pagination: pp 409-417
• Serial:
  • Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
  • Volume: 221
  • Issue Number: 3
  • Publisher: Sage Publications Limited
  • ISSN: 0954-4097
  • EISSN: 2041-3017
  • Serial URL: http://pif.sagepub.com/content/current

Subject/Index Terms

• TRT Terms: Axle loads; Axles; Cracking; Defects; Detection and identification; Fault tolerance; Inspection; Life cycle analysis; Live loads; Nondestructive tests; Probability; Railroad trains; Steel; Time intervals
• Uncontrolled Terms: Probability of detection (Pod)
• Subject Areas: Data and Information Technology; Materials; Railroads; Vehicles and Equipment;

Filing Info

• Accession Number: 01081414
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 28 2007 8:26AM