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Τίτλος: Aspects of modelling uncertainty in predicting chloride induced deterioration for concrete bridges
Συγγραφείς: Rafiq, Meena Imran 
Chryssanthopoulos, Marios K. 
Onoufriou, Toula 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Λέξεις-κλειδιά: modelling uncertainty;Chloride induced corrosion;Health monitoring;Concrete bridges;Bayesian updating
Ημερομηνία Έκδοσης: 2004
Πηγή: 2nd International ASRANet Colloquium, Barcelona, Spain, 2004
Περίληψη: 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 
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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