Estimation of parameter for rail degradation

Projekt:

JVTC

Sammanfattning:
Rail degradation is a significant problem for rail industries. Wear and fatigue comprises major component of rail degradation. It depends on operational conditions such as train speed, axle load, rail-wheel material type, size and profile, track construction, characteristics of bogie type, Million Gross Tonnes (MGT), curvature, traffic type, weather and environmental conditions. Development of prediction model related to those defects leading to rail breaks and/or rail replacements is vital for economic and safe operation of rail services. Estimation of parameter for failure models is necessary for accurate prediction of expected number of rail defects over a period of time based on Million Gross Tonnes (MGT) traffic, operating conditions and maintenance strategies. This paper focuses on collection and analysis of field data for various defects developed in rail track over a period of time for estimation of parameter for models predicting degradation of rails.

Författare: G. Chattopadhyay ; Saurabh Kumar ; Per-Olof Larsson-Kråik ; Uday Kumar
Utgivare: Luleå tekniska universitet
Utgivningsdatum: 2006
Diarienummer: TRV 2011/58769
ISBN: 978-91-631-8806-0
Antal sidor: 8
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs