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http://dx.doi.org/10.4334/JKCI.2008.20.1.077

Durability Prediction for Concrete Structures Exposed to Chloride Attack Using a Bayesian Approach  

Jung, Hyun-Jun (Dept. of Civil & Environmental and Architectural Engineering, Korea University)
Zi, Goang-Seup (Dept. of Civil & Environmental and Architectural Engineering, Korea University)
Kong, Jung-Sik (Dept. of Civil & Environmental and Architectural Engineering, Korea University)
Kang, Jin-Gu (Dept. of Civil & Environmental and Architectural Engineering, Korea University)
Publication Information
Journal of the Korea Concrete Institute / v.20, no.1, 2008 , pp. 77-88 More about this Journal
Abstract
This paper provides a new approach for predicting the corrosion resistivity of reinforced concrete structures exposed to chloride attack. In this method, the prediction can be updated successively by a Bayesian theory when additional data are available. The stochastic properties of model parameters are explicitly taken into account into the model. To simplify the procedure of the model, the probability of the durability limit is determined from the samples obtained from the Latin hypercube sampling technique. The new method may be very useful in designing important concrete structures and help to predict the remaining service life of existing concrete structures which have been monitored.
Keywords
corrosion; bayesian theory; durability prediction; remaining service life; monitoring;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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