Consideration of coupling of crack development and corrosion in assessing the reliability of reinforced concrete beams subjected to bending

• Published in: Reliability engineering & system safety Vol. 233; p. 109095
• Main Authors: Wang, Tiao, Li, Chunhe, Zheng, Jian-jun, Hackl, Jürgen, Luan, Yao, Ishida, Tetsuya, Medepalli, Satya
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2023
• Subjects: Chloride diffusion; Concrete crack; Corrosion progression; Degradation; Rebar; Structural reliability analysis; Structural reliability analysis; Degradation; Concrete crack; Rebar; Chloride diffusion; Corrosion progression
• ISSN: 0951-8320; 1879-0836
• DOI: 10.1016/j.ress.2023.109095

•This study develops a reliability analysis system that incorporates the coupled degradation effects of crack development and corrosion progression for assessing the reliability of reinforced concrete structures.•This developed system is a computationally efficient approach as RNA is adopted to simulate chloride diffusion of cracked concrete.•This developed system can be used to assess the whole life performance of RC structures without the need for empirical deterioration models as it is developed based on physicochemical and mechanical models.•This developed system is a useful approach for assessing the corrosion failure probability of RC structures subjected to different loads.•This developed system is a useful method for assessing different effects – SCMs and environmental temperature – on the corrosion failure probability of RC structures. Most of the existing infrastructures (e.g., oversea bridges) are made of reinforced concrete (RC); therefore, their safety is of high priority for our society. RC structures undergo continuous deterioration due to a combination of chloride ingress and loading actions. Chloride-induced corrosion is thus one of the most serious threats. In this work a stochastic model is presented which couples degradation effects of crack development and corrosion progression based on physicochemical and mechanical models to estimate the probability of failure of a RC structure over time. To enable an efficient probabilistic assessment, a novel rapid numerical approach (RNA) is implemented for modeling the chloride diffusion. Numerical experiments show that the probability of corrosion failure is significantly underestimated if the coupled degradation effect of cracks and corrosion is not considered. Finally, parameter analyses are used to identify the effects of individual parameters, including external load level, supplementary cementitious materials and environmental temperature, on the probability of corrosion failure of RC beams over time.