Modelling railway bridge degradation based on historical maintenance data

Le, Bryant and Andrews, John (2016) Modelling railway bridge degradation based on historical maintenance data. Safety and Reliability, 35 (2). pp. 32-55. ISSN 2469-4126

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Abstract

As structures deteriorate with age and use, it is necessary to devise a maintenance plan to control their states in a cost effective way. In order to evaluate the effectiveness of alternative maintenance strategies their success must be measured by their ability to control the structure condition. The condition can be expressed for either the entire structure or for the components which make up the structure. A problem is how to express this condition. This is a particular problem for bridges where there can be several deterioration mechanisms taking place and there is no clear way of measuring the current state of either the structure or its elements. One approach to defining the condition of bridges is to use condition scores or condition indices, for the infrastructure owners, as it is desirable that they understand how their population of assets is changing over time. For bridges this has involved providing a condition rating for each structure based on observation and by tracking the changes in the distribution of structure condition for population over time. The current maintenance strategy can then be shown to be inadequate (leading to deteriorating population condition), adequate (producing a stable population condition) or effective and resulting in an improving population condition.

There have been a variety of bridge condition scoring systems that have been devised by different infrastructure owners in both the highway and railway sectors. Whilst these scores are not devised to be used in detailed maintenance modelling, due to the lack of alternative data they have frequently been used in this manner. This paper addresses the problems of using this data for bridge degradation modelling and proposes an alternative method to model the degradation of bridge elements using historical work done data. The deterioration process is modelled by a Weibull distribution that governs the time a component deteriorates to a degraded condition state following a repair. The method is demonstrated on real historical maintenance data where the analyses of the deterioration processes of several main bridge components are presented.

Item Type: Article
Keywords: bridge, asset management, degradation modelling, lifetime analysis, historical work done, Weibull distribution
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
Identification Number: 10.1080/09617353.2015.11691040
Depositing User: Eprints, Support
Date Deposited: 26 Sep 2017 10:40
Last Modified: 13 Oct 2017 17:21
URI: http://eprints.nottingham.ac.uk/id/eprint/46730

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