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Performance updating of concrete bridges using proactive health monitoring methods

Rafiq, MI, Chryssanthopoulos, MK and Onoufriou, T (2004) Performance updating of concrete bridges using proactive health monitoring methods Reliab Eng Syst Saf, 86 (3). pp. 247-256.

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Abstract

Uncertainties associated with modelling of deteriorating bridges strongly affect management decisions, such as inspection, maintenance and repair actions. These uncertainties can be reduced by the effective use of health monitoring systems, through which information regarding in situ performance can be incorporated in the management of bridges. The objectives of this paper are twofold; first, an improved chloride induced deterioration model for concrete bridges is proposed that can quantify degradation in performance soon after chlorides are deposited on the bridge, rather than when initiation of corrosion at the reinforcement level takes place. As a result, the implications of introducing proactive health monitoring can be assessed using probabilistic durability criteria. Thus, the second objective of the paper is to present a methodology for performance updating of deteriorating concrete bridges fitted with a proactive health monitoring system. This methodology is illustrated via a simple example of a typical bridge element, such as a beam or a part of a slab. The results highlight the benefits from introducing 'smart' technology in managing bridges subject to deterioration, and quantify the reduction in uncertainties and their subsequent effect on predictions of future bridge performance. © 2004 Elsevier Ltd. All rights reserved.

Item Type: Article
Authors :
NameEmailORCID
Rafiq, MIm.rafiq@surrey.ac.ukUNSPECIFIED
Chryssanthopoulos, MKUNSPECIFIEDUNSPECIFIED
Onoufriou, TUNSPECIFIEDUNSPECIFIED
Date : 2004
Identification Number : https://doi.org/10.1016/j.ress.2004.01.012
Uncontrolled Keywords : Bayesian methods, Chlorides, Concrete bridges, Deterioration, Health monitoring, Reliability, Chloride minerals, Data acquisition, Deterioration, Electrochemical sensors, Health, Mathematical models, Probability, Reliability, Bayesian methods, Chloride ingress, Corrosion risk sensors, Health monitoring, Concrete bridges
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 11:38
Last Modified : 17 May 2017 11:38
URI: http://epubs.surrey.ac.uk/id/eprint/832129

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