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 | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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