Probability Model of Corrosion Initiation Time of Steel in Concrete Structure in Chloride Environment


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Probability distribution law of corrosion initiation time of steel in concrete under chloride environment is discussed. Based on the Fick’s second law, by Monte Carlo, frequency distribution, distribution type and probability density is analyzed. The statistic parameters of the factors influencing the probability distribution of corrosion initiation time are studied and the expression for sensitivity analysis of corrosion initiation time is deduced. By sensitivity analysis can know, corrosion initiation time is found to be more sensitive to cover than the diffusion coefficient, and more sensitive to surface chloride concentration than the critical chloride level. The analysis of the paper perfects the methods of predicting the corrosion initiation time.



Advanced Materials Research (Volumes 243-249)

Edited by:

Chaohe Chen, Yong Huang and Guangfan Li




Y. L. Ma and A. L. Zhang, "Probability Model of Corrosion Initiation Time of Steel in Concrete Structure in Chloride Environment", Advanced Materials Research, Vols. 243-249, pp. 5632-5636, 2011

Online since:

May 2011




[1] Trevor J. Kirkpatrick. Impact of Specification Changes on Chloride Induced Corrosion Service Life of Virginia Bridge Decks, Thesis in Civil and Environmental Engineering, Virginia: Virginia Polytechnic Institute and State University, (2001).

[2] Tian junfeng, Pan deqiang, Zhao shangchuan. Prediction of Durable Life of HPC Structures Resisting Chloride Ion Penetration in Marine Environment, China Harbor Engineering, 2002(2): 1-6(In Chinese).

[3] Clifton J R. Predicting the service life of concrete. ACI Material Journal, 1993, 90(6): 611-617.

[4] Liang M T, Wang K L, Liang C H. Service life prediction of reinforced concrete structures. Cement and Concrete Research, 1999, 29: 1411-1418.


[5] P. Thoft-Christensen, Modelling of the Deterioration of Reinforced Concrete Structures, Proceedings of IFIP Conference on Reliability and Optimization of Structural Systems, Ann Arbor, Michigan, September, 2000, pp.15-26.