Probabilistic Generalization of a Comprehensive Model for the Deterioration Prediction of RC Structure under Extreme Corrosion Environments

Xingji Zhu, Zaixian Chen, Hao Wang, Yabin Chen and Longjun Xu
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Xingji Zhu: Department of Civil Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China
Zaixian Chen: Department of Civil Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China
Hao Wang: Department of Civil Engineering, Southeast University, Nanjing 210096, China
Yabin Chen: Department of Civil Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China
Longjun Xu: Department of Civil Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China

Sustainability, 2018, vol. 10, issue 9, 1-17

Abstract: In some extreme corrosion environments, the erosion of chloride ions and carbon dioxide can occur simultaneously, causing deterioration of reinforced concrete (RC) structures. This study presents a probabilistic model for the sustainability prediction of the service life of RC structures, taking into account that combined deterioration. Because of the high computational cost, we also present a series of simplifications to improve the model. Meanwhile, a semi-empirical method is also developed for this combined effect. By probabilistic generalization, this simplified method can swiftly handle the original reliability analysis which needs to be based on large amounts of data. A comparison of results obtained by the models with and without the above simplifications supports the significance of these improvements.

Keywords: reinforced concrete; corrosion; chloride ingress; carbonation; probabilistic; sustainability prediction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
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