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Parameter estimation for rail degradation model

journal contribution
posted on 06.12.2017, 00:00 authored by Gopinath ChattopadhyayGopinath Chattopadhyay, S Kumara
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.

Funding

Category 4 - CRC Research Income

History

Volume

5

Issue

2

Start Page

119

End Page

130

Number of Pages

12

ISSN

0973-1318

Location

Jaipur, India

Publisher

RAMS Consultants

Language

en-aus

Peer 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

Journal

International journal of performability engineering.