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Accelerated carbonation tests for the probabilistic prediction of the durability of concrete structures
•Our approach combine direct use of experimental results, a carbonation model and a Bayesian network.•The duration of experiments complies with a real engineering design process.•The design of the concrete cover is full probabilistic.•Rational criteria are used in combination for assessing the quali...
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Published in: | Construction & building materials 2014-09, Vol.66, p.597-605 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Our approach combine direct use of experimental results, a carbonation model and a Bayesian network.•The duration of experiments complies with a real engineering design process.•The design of the concrete cover is full probabilistic.•Rational criteria are used in combination for assessing the quality of successive updates.•Standard recommendations and rules are accounted for from deterministic and probabilistic viewpoint.
This paper proposes an efficient approach based on Bayesian networks for designing the cover of CEMI-based concrete structures for a prescribed durability under carbonation exposure. The approach combines the use of a carbonation model, whose correlated parameters are the nodes of a Bayesian network, and an experimental investigation on accelerated carbonation tests under high pressure (50% atmospheric pressure), the results of which allow the distributions to be updated. Several updates are performed at 5days, 7days and 10days of exposure. The reliability-based design of cover is subsequently carried out using posterior distributions selected on the basis of the Bayes factor and the maximum likelihood criteria. Percentile values of the carbonation depth resulting from measurement and output of the model are compared, underlining the interest of the approach, which is valuable for practical considerations in engineering design. |
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ISSN: | 0950-0618 1879-0526 |
DOI: | 10.1016/j.conbuildmat.2014.05.103 |