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Parameter estimation for rail degradation model
journal contribution
posted on 2017-12-06, 00:00 authored by Gopinath ChattopadhyayGopinath Chattopadhyay, S KumaraWear 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.
Funding
Category 4 - CRC Research Income
History
Volume
5Issue
2Start Page
119End Page
130Number of Pages
12ISSN
0973-1318Location
Jaipur, IndiaPublisher
RAMS ConsultantsLanguage
en-ausPeer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Faculty of Sciences, Engineering and Health; Institute for Resource Industries and Sustainability (IRIS); TBA Research Institute; Tekniska högskolan i Luleå;Era Eligible
- Yes