Field statistical and finite element analysis of rail squats

Farjoo, Mohammadali, Daniel, William, Bellette, Paul and Meehan, Paul A. (2013) Field statistical and finite element analysis of rail squats. Engineering Fracture Mechanics, 109 117-129. doi:10.1016/j.engfracmech.2013.05.004


Author Farjoo, Mohammadali
Daniel, William
Bellette, Paul
Meehan, Paul A.
Title Field statistical and finite element analysis of rail squats
Journal name Engineering Fracture Mechanics   Check publisher's open access policy
ISSN 0013-7944
1873-7315
Publication date 2013-09-01
Sub-type Article (original research)
DOI 10.1016/j.engfracmech.2013.05.004
Volume 109
Start page 117
End page 129
Total pages 13
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Language eng
Abstract In this paper, squats on 262. km of Australian railway track have been statistically investigated. Data from more than 4900 squat occurrences has been collected. At each point, rail type, rail, sleeper type, the curve radius and rail direction are recorded as fixed parameters. A linear mixed model has been used to statistically identify the parameters and parameter combinations that are more likely to lead to the occurrence of squats and results are compared with those from a 3D finite element model. Results show that squats are more likely to occur in sharper radius curves due to higher lateral traction and at locations with a softer foundation due to the elastic foundation effect.
Keyword Squat
Statistics
Crack propagation
Stress intensity factor
Elastic foundation effects
Water entrapment
Mixed model
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2014 Collection
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 01 Nov 2013, 20:55:42 EST by Katie Gollschewski on behalf of School of Mechanical and Mining Engineering