Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29445
Title: Aspects of modelling uncertainty in predicting chloride induced deterioration for concrete bridges
Authors: Rafiq, Meena Imran 
Chryssanthopoulos, Marios K. 
Onoufriou, Toula 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: modelling uncertainty;Chloride induced corrosion;Health monitoring;Concrete bridges;Bayesian updating
Issue Date: 2004
Source: 2nd International ASRANet Colloquium, Barcelona, Spain, 2004
Abstract: Use of probabilistic performance models to estimate and predict the extent of deterioration in concrete structures is on the increase. Uncertainties associated with their input parameters have a strong influence on the effectiveness of these models. A method has been developed by the authors that uses information obtained through continuously monitoring the progress of deterioration to reduce the uncertainties associated with these models. This paper summarises the effects of various modelling uncertainties on the prior and posterior predicted performance. The effects of modelling uncertainties associated with health monitoring systems (ie instrument & measurement uncertainties) are also investigated for the posterior predicted performance.
URI: https://hdl.handle.net/20.500.14279/29445
Rights: © Elsevier
Type: Conference Papers
Affiliation : University of Brighton 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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