Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1791
Title: Performance updating of concrete bridges using proactive health monitoring methods
Authors: Onoufriou, Toula 
Rafiq, Meena Imran 
Chryssanthopoulos, Marios K. 
metadata.dc.contributor.other: Ονουφρίου, Τούλα
Major Field of Science: Engineering and Technology
Field Category: ENGINEERING AND TECHNOLOGY
Keywords: Reinforced concrete;Maintenance;Reliability;Concrete bridges
Issue Date: Dec-2004
Source: Reliability Engineering and System Safety, 2004, vol. 86, no. 3, pp. 247-256
Volume: 86
Issue: 3
Start page: 247
End page: 256
Journal: Reliability Engineering and System Safety 
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.
URI: https://hdl.handle.net/20.500.14279/1791
ISSN: 09518320
DOI: 10.1016/j.ress.2004.01.012
Rights: © Elsevier
Type: Article
Affiliation: University of Surrey 
Affiliation : University of Surrey 
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