A methodology for the prediction of structure level costs based on element condition states

Fernando, Dilum, Adey, Bryan T. and Walbridge, Scott (2013) A methodology for the prediction of structure level costs based on element condition states. Structure and Infrastructure Engineering, 9 8: 735-748. doi:10.1080/15732479.2011.609176

Author Fernando, Dilum
Adey, Bryan T.
Walbridge, Scott
Title A methodology for the prediction of structure level costs based on element condition states
Journal name Structure and Infrastructure Engineering   Check publisher's open access policy
ISSN 1573-2479
Publication date 2013-08-01
Year available 2011
Sub-type Article (original research)
DOI 10.1080/15732479.2011.609176
Volume 9
Issue 8
Start page 735
End page 748
Total pages 14
Place of publication Abingdon, United Kingdom
Publisher Taylor & Francis
Collection year 2014
Language eng
Abstract The determination of work programmes for bridges that maximise benefit to all stakeholders requires consideration of not only the condition of the elements of which a bridge is comprised, but also the performance of the structure as a whole. This is required because although some costs can be related to the condition of the elements, others, such as the costs of travelling over the bridge, cannot. One possible methodology to do this involves linking relevant costs to structure performance states (SPS) that are determined from the element condition states (CSs). However, even a bridge with a moderate number of elements and element CSs results in a large number of possible SPSs and an unwieldy amount of required work to estimate the costs associated with each. This work can be drastically reduced, however, by exploiting the almost linear system behaviour of the bridge that can occur between many combinations of element CSs. This article presents a methodology for relating SPSs to element CSs for the purpose of determining structure level costs. This methodology is demonstrated in several examples, wherein the effects of exploiting the linearity of the system behaviour to reduce the computational effort are also explored.
Keyword Bridge maintenance
Life-cycle cost analysis
Management systems
Markov chain
Optimal intervention strategies
User cost
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Published onine: 01 September 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
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Created: Mon, 16 Sep 2013, 10:08:19 EST by Dilum Fernando on behalf of School of Civil Engineering