Volume 3, Issue 1, June 2019, Page: 16-22
A Statistical Analysis of the Distribution of the Chloride Threshold with Relation to Steel-concrete Interface
Amit Kenny, Department of Civil Engineering, Shamoon College of Engineering, Ashdod, Israel
Amnon Katz, Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa, Israel
Received: Aug. 13, 2019;       Accepted: Aug. 30, 2019;       Published: Sep. 18, 2019
DOI: 10.11648/j.ajcbm.20190301.13      View  94      Downloads  21
Abstract
A wide variation of chloride thresholds can be found in the literature. Possible causes for this variation, which were mentioned are: method of threshold determination, cement chemistry, and concrete microstructure. Regardless of the reasons for these variations, a probabilistic method can be used to ensure the durability of reinforced concrete structures for a specific period. A probabilistic method gives a threshold for design for given required confidence. A former research analyzed the micro-structure of concrete around steel rebar, by means of BSE automated image analysis, and the chloride threshold. The research found a statistical significant correlation between the maximal distance of steel from the closest concrete solid on the rebar perimeter and the chloride threshold. Theory of statistics of extreme values state, that the distribution of maxima data is bonded to be general extreme value distribution (GEVD). Re-analysis of the data from the abovementioned research found that as expected from the theory of statistics, the maximum steel-concrete distance distributed according to GEVD. Therefore, since the chloride threshold depends on the steel-concrete distance, its distribution is bonded to the GEVD. The analysis in this paper show that the received chloride threshold is GEVD as the theory predicted. From the theoretical point of view, GEVD may be the distribution of many other corrosion processes. The recognition of GEVD as the correct distribution for describing corrosion initiation in reinforced concrete (RC) structures, can enable more accurate planning for corrosion protection.
Keywords
Reinforced Concrete, Probabilistic Design, Chloride Threshold, Statistical Analysis, Corrosion
To cite this article
Amit Kenny, Amnon Katz, A Statistical Analysis of the Distribution of the Chloride Threshold with Relation to Steel-concrete Interface, American Journal of Construction and Building Materials. Vol. 3, No. 1, 2019, pp. 16-22. doi: 10.11648/j.ajcbm.20190301.13
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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