Probabilistic evaluation method for corrosion risk of steel reinforcement based on concrete resistivity
Probabilistic evaluation method for corrosion risk of steel reinforcement based on concrete resistivity
复制标题
基于混凝土电阻率的钢筋腐蚀风险概率评估方法
DOI：
10.1016/j.conbuildmat.2017.01.100
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发表时间：
2017-05
影响因子：
7.4
通讯作者：
Chen Zheng
中科院分区：
文献类型：
--
作者：
Yu Bo;Liu Jianbo;Chen Zheng
为了克服传统确定性方法的不足，基于混凝土电阻率概率预测模型，提出了一种混凝土中钢筋锈蚀风险的概率评估方法。首先研究了水灰比、氯离子含量、环境温度和环境相对湿度等主要影响因素对混凝土电阻率的影响。基于贝叶斯理论和马尔可夫链蒙特卡罗（MCMC）方法，建立了考虑上述主要影响因素的混凝土电阻率概率预测模型。同时，根据混凝土电阻率与钢筋锈蚀率之间的关系，提出了基于混凝土电阻率的钢筋锈蚀风险评价准则。最后，利用所提出的混凝土电阻率概率预测模型，建立了混凝土中钢筋锈蚀风险的概率评估方法。分析结果表明，所提出的概率评估方法不仅能够识别钢筋锈蚀的主导风险，而且能够确定不同锈蚀风险等级（可忽略、低、中、高）下钢筋锈蚀的概率，避免了传统确定性评估方法对钢筋锈蚀风险的误判。
In order to overcome the disadvantages of traditional deterministic methods, a probabilistic evaluation method to assess the corrosion risk of steel reinforcement in concrete was proposed based on the probabilistic prediction model of concrete resistivity. The influences of major influential factors including water-to-cement ratio, chloride content, ambient temperature and ambient relative humidity on concrete resistivity were investigated first. Then a probabilistic prediction model of concrete resistivity in terms of the above major influential factors was developed by using the Bayesian theory and the Markov Chain Monte Carlo (MCMC) method. Meanwhile, the evaluation criterion for corrosion risk of steel reinforcement based on concrete resistivity was proposed according to the relationship between concrete resistivity and corrosion rate of steel reinforcement. Finally, a probabilistic evaluation method for corrosion risk of steel reinforcement in concrete was developed by means of the proposed probabilistic prediction model of concrete resistivity. Analysis results show that the proposed probabilistic evaluation method can not only identify the dominant risk of reinforcement corrosion, but also determine the probabilities of steel reinforcement under different corrosion risk levels (e.g. negligible, low, moderate, and high), which could avoid the misjudgment of corrosion risk of steel reinforcement often encountered by the traditional deterministic evaluation methods.
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影响因子：
8.3
作者：
GONZALEZ, JA;MOLINA, A;ANDRADE, C
通讯作者：
ANDRADE, C
影响因子：
5.4
作者：
R. Vedalakshmi;H. Dolli;N. Palaniswamy
通讯作者：
R. Vedalakshmi;H. Dolli;N. Palaniswamy
DOI：
10.1061/(asce)0733-9399(2002)128:10(1024
发表时间：
2002-10
期刊：
Journal of Engineering Mechanics-asce
影响因子：
--
作者：
P. Gardoni;A. Kiureghian;K. Mosalam
通讯作者：
P. Gardoni;A. Kiureghian;K. Mosalam
DOI：
--
发表时间：
1995-07
期刊：
--
影响因子：
--
作者：
W. Elkey;E. J. Sellevold
通讯作者：
W. Elkey;E. J. Sellevold
影响因子：
7.4
作者：
Andrade, C;Alonso, C
通讯作者：
Alonso, C