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Probabilistic assessment of reinforcing steel depassivation in concrete under aggressive chloride environments based on natural exposure data

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Abstract

The probability distributions of the critical threshold chloride concentration C cr, the chloride diffusion coefficient D, and the surface chloride concentration C s are determined based on the collected natural exposure data, and the probability estimation of reinforcement depassivation in concrete is presented using Monte-Carlo simulation. From sensitivity analysis of mean value for c cr, c s, and D on the depassivation probability of reinforcement, it is found that c cr, c s, and D respectively has the greatest, smaller, and the lowest effect on the probability of depassivation. Finally the effect of stress state of concrete on the reinforcement depassivation probability is analyzed. It is found that the influence of stress state becomes apparent as exposure time increases.

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Correspondence to Xiaogang Zhang  (张小刚).

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Funded by National Natural Science Foundation of China (Nos.50908148 and 50925829), Research Project of Ministry of Housing and Urban-Rural Development of China (Nos.2009-K4-23, 2010-11-33), and National Key Technologies R&D Program of China (No.2006BAJ02B04)

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Zhang, X., Zhao, Y. & Lu, Z. Probabilistic assessment of reinforcing steel depassivation in concrete under aggressive chloride environments based on natural exposure data. J. Wuhan Univ. Technol.-Mat. Sci. Edit. 26, 126–131 (2011). https://doi.org/10.1007/s11595-011-0183-4

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  • DOI: https://doi.org/10.1007/s11595-011-0183-4

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