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.
| Published in | American Journal of Construction and Building Materials (Volume 3, Issue 1) |
| DOI | 10.11648/j.ajcbm.20190301.13 |
| Page(s) | 16-22 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Reinforced Concrete, Probabilistic Design, Chloride Threshold, Statistical Analysis, Corrosion
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APA Style
Amit Kenny, Amnon Katz. (2019). A Statistical Analysis of the Distribution of the Chloride Threshold with Relation to Steel-concrete Interface. American Journal of Construction and Building Materials, 3(1), 16-22. https://doi.org/10.11648/j.ajcbm.20190301.13
ACS Style
Amit Kenny; Amnon Katz. A Statistical Analysis of the Distribution of the Chloride Threshold with Relation to Steel-concrete Interface. Am. J. Constr. Build. Mater. 2019, 3(1), 16-22. doi: 10.11648/j.ajcbm.20190301.13
AMA Style
Amit Kenny, Amnon Katz. A Statistical Analysis of the Distribution of the Chloride Threshold with Relation to Steel-concrete Interface. Am J Constr Build Mater. 2019;3(1):16-22. doi: 10.11648/j.ajcbm.20190301.13
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Download@article{10.11648/j.ajcbm.20190301.13,
author = {Amit Kenny and Amnon Katz},
title = {A Statistical Analysis of the Distribution of the Chloride Threshold with Relation to Steel-concrete Interface},
journal = {American Journal of Construction and Building Materials},
volume = {3},
number = {1},
pages = {16-22},
doi = {10.11648/j.ajcbm.20190301.13},
url = {https://doi.org/10.11648/j.ajcbm.20190301.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcbm.20190301.13},
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.},
year = {2019}
}
TY - JOUR T1 - A Statistical Analysis of the Distribution of the Chloride Threshold with Relation to Steel-concrete Interface AU - Amit Kenny AU - Amnon Katz Y1 - 2019/09/18 PY - 2019 N1 - https://doi.org/10.11648/j.ajcbm.20190301.13 DO - 10.11648/j.ajcbm.20190301.13 T2 - American Journal of Construction and Building Materials JF - American Journal of Construction and Building Materials JO - American Journal of Construction and Building Materials SP - 16 EP - 22 PB - Science Publishing Group SN - 2640-0057 UR - https://doi.org/10.11648/j.ajcbm.20190301.13 AB - 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. VL - 3 IS - 1 ER -
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