Probabilistic Analysis of Corrosion of Reinforcement in RC Bridges Considering Fuzziness and Randomness
Publication: Journal of Structural Engineering
Volume 139, Issue 9
Abstract
A general methodology for probabilistic corrosion analysis of reinforcing bar in RC bridges is proposed in this paper. Uncertainties due to limited number of experimental data, incomplete inspection information, as well as the intrinsic randomness of random variables affect the prognostics of corrosion damage. The proposed study includes both fuzziness and randomness to consider different types of uncertainties. First, the chloride-induced corrosion initiation and propagation model are developed for reinforcement in RC bridge. The relationship between the area corrosion rate and the yield strength degradation is proposed on the basis of experimental investigation from accelerated corrosion testing. Following this, the randomness and fuzziness are included using fuzzy random variables to consider the uncertainties of the degradation under corrosive environments. The probabilistic modeling of the mean and the SD of reinforcement yield strength is discussed in detail. Finally, the proposed methodology is illustrated and validated with field measurements of corroded reinforcement in RC beams from a 34-year-old decommissioned RC bridge. The predicted results agree well with experimental values.
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Acknowledgments
This work reported here was conducted with financial support from the National Natural Science Foundation of China (Grant No. 50908023), the Innovative Platform Open Fund of Colleges and Universities of Hunan Province (Grant No. 11K004), Hunan Provincial Innovation Foundation for Postgraduate (Grant No. CX2012A015), and the Special Fund of Excellent Doctoral Dissertations of Hunan Province (Grant No. YB2011B039). The support is gratefully acknowledged.
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Published In
Journal of Structural Engineering
Volume 139 • Issue 9 • September 2013
Pages: 1529 - 1540
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Aug 5, 2011
Accepted: Sep 12, 2012
Published online: Sep 17, 2012
Published in print: Sep 1, 2013
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