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Advances in Concrete Construction Volume 8, Number 1, August 2019 , pages 055-64 DOI: https://doi.org/10.12989/acc.2019.8.1.055 |
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Service life prediction of chloride-corrosive concrete under fatigue load |
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Tao Yang, Bowen Guan, Guoqiang Liu, Jing Li, Yuanyuan Pan,
Yanshun Jia and Yongli Zhao
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| Abstract | ||
| Chloride corrosion has become the main factor of reducing the service life of reinforced concrete structures. The object of this paper is to propose a theoretical model that predicts the service life of chloride-corrosive concrete under fatigue load. In the process of modeling, the concrete is divided into two parts, microcrack and matrix. Taking the variation of mcirocrack area caused by fatigue load into account, an equation of chloride diffusion coefficient under fatigue load is established, and then the predictive model is developed based on Fick\'s second law. This model has an analytic solution and is reasonable in comparison to previous studies. Finally, some factors (chloride diffusion coefficient, surface chloride concentration and fatigue parameter) are analyzed to further investigate this model. The results indicate: the time to pit-to-crack transition and time to crack growth should not be neglected when predicting service life of concrete in strong corrosive condition; the type of fatigue loads also has a great impact on lifetime of concrete. In generally, this model is convenient to predict service life of chloride-corrosive concrete with different water to cement ratio, under different corrosive condition and under different types of fatigue load. | ||
| Key Words | ||
| fatigue load; Chloride induced corrosion; microcrack area; fatigue damage; service life | ||
| Address | ||
| Tao Yang: School of Transportation, Southeast University, Southeast Unveristy Road 2#, Nanjing, Jiangsu, China; School of Material Science and Engineering, Chang\'an University, Nanerhuan Road Mid-Section, Xi\'an, Shannxi, China Bowen Guan: School of Material Science and Engineering, Chang\'an University, Nanerhuan Road Mid-Section, Xi\'an, Shannxi, China Guoqiang Liu, Jing Li, Yuanyuan Pan, Yanshun Jia and Yongli Zhao: School of Transportation, Southeast University, Southeast Unveristy Road 2#, Nanjing, Jiangsu, China | ||
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