Parameter estimation for rail degradation model

Projekt:

JVTC

Sammanfattning:
Wear and fatigue in rails are major contributors of rail degradation depending on operational conditions, track, characteristics of bogie type, Million Gross Tonnes (MGT), curvature, traffic type and environmental conditions. Estimation of parameter for failure models is necessary for accurate prediction of expected number of rail defects over a period of time based on MGT of traffic and operating conditions for developing cost effective maintenance strategies. This paper focuses on collection and analysis of field data over a period of time for estimation of parameter for modelling rail life.

Författare: Gopi Chattopadhyay ; Saurabh Kumar
Utgivare: RAMS
Utgivningsdatum: 2009
Diarienummer: TRV 2011/58769
ISSN: 0973-1318
Antal sidor: 12
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs