Modeling rail fatigue behavior with multiple hazards

Feng Yeu Shyr, Moshe Ben-Akiva

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Rail fatigue failures are of great concern to railroad companies because they may cause derailments. Therefore, the railroad companies' objective is to predict the locations and times of potential failures and perform preventive maintenance. To predict when and where rail fatigue failures will occur, it is necessary to establish the relationship between fatigue failures and factors affecting fatigue. This paper specifies a statistical rail fatigue model in four stages: first, the model describes the relationship between probability of failure and usage; second, the model is extended to cases of multiple types of failures; third, the model is derived for discrete usage categories or time periods with a continuous spatial representation of rail units; and finally, explanatory variables capturing geometry, maintenance, and material properties are included to explain differences in fatigue behavior among heterogeneous rail units. The model is estimated using available rail fatigue data. The modeling framework can be applied to other multitype failure behavior and to reliability problems such as vehicle breakdown.

Original languageEnglish
Pages (from-to)73-81
Number of pages9
JournalJournal of Infrastructure Systems
Volume2
Issue number2
Publication statusPublished - 1996 Jun 1

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering

Fingerprint Dive into the research topics of 'Modeling rail fatigue behavior with multiple hazards'. Together they form a unique fingerprint.

Cite this