Probabilistic fatigue life prediction and inspection of railroad wheels

Yongming Liu, Brant Stratman, Liming Liu, Sankaran Mahadevan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A general methodology for fatigue reliability analysis and inspection of railroad wheels is proposed in this paper. Both fatigue crack initiation and crack propagation life are included in the proposed methodology using previously developed multiaxial fatigue models by the authors. The life prediction is validated with field data. A methodology for calculating the optimized inspection schedule of railroad wheels is then developed using the reliability methodology. The optimized inspection scheduling methodology combines clustering analysis, to identify critical samples, reliability analysis, to calculate the expected life of the critical samples, and reliability-based optimization into an overall methodology which optimizes the inspection schedule. The proposed methodology minimizes the number of wheels inspected while at the same time maintaining or exceeding the desired reliability of the population.

Original languageEnglish (US)
Title of host publicationSAE Technical Papers
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 World Congress - Detroit, MI, United States
Duration: Apr 16 2007Apr 19 2007

Other

Other2007 World Congress
CountryUnited States
CityDetroit, MI
Period4/16/074/19/07

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Probabilistic fatigue life prediction and inspection of railroad wheels'. Together they form a unique fingerprint.

  • Cite this