Visual inspection and bridge management

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Title: Visual inspection and bridge management
Authors: Quirk, Lucy
Matos, Jose
Murphy, Jimmy
Pakrashi, Vikram
Permanent link: http://hdl.handle.net/10197/10351
Date: 4-Mar-2018
Online since: 2019-05-08T12:54:20Z
Abstract: This paper estimates visual inspection quantitatively prior to its implementation in a Bridge Management System using a Value of Information (VoI) approach employing a Bayesian pre-posterior analysis. Information from a significant number of real bridges from Ireland and Portugal are considered in this regard following existing commercial practices. The variation of different parameters on the estimated VoI is investigated including the assumed probabilistic models of the prior bridge state, the likelihood of inspector assigned condition ratings and the economic setting surrounding the cost matrix for maintenance decision alternatives. The values of no information, perfect information and imperfect information are presented and the change in the optimal strategy based on such information is assessed. The effect of human imperfections in assessment and difference in condition rating scale are also estimated. The studies and findings of this paper are expected to allow a better insight for practising engineers and researchers working in bridge management.
Type of material: Journal Article
Publisher: Taylor & Francis
Journal: Structure and Infrastructure Engineering
Volume: 14
Issue: 3
Start page: 320
End page: 332
Copyright (published version): 2017 Taylor & Francis
Keywords: Bridge maintenanceVisual inspectionCondition ratingValue engineeringCost estimatesDecision-makingBayesian Networks
DOI: 10.1080/15732479.2017.1352000
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

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