Amirkabir University of TechnologyAmirkabir Journal of Civil Engineering2588-297X53420210622Life-cycle cost analysis of cracking in a reinforced concrete beam under uniform chloride corrosionLife-cycle cost analysis of cracking in a reinforced concrete beam under uniform chloride corrosion14911506379710.22060/ceej.2020.17001.6421FAMasoumehTaghipourFaculty of Civil Engineering, Babol Noshirvani University of TechnologyMehdiDehestaniFaculty of Civil Engineering, Babol Noshirvani University of TechnologyJournal Article20190903<span style="letter-spacing: .05pt;">Corrosion of rebar is one of the major problems in reinforced concrete structures under a corrosive environment which causes serious damage to the structures. Corrosion of rebar is a complex process and one of the important factors of failure of reinforced concrete structures which reduces the strength and serviceability of the structures thus avoiding these adverse effects requiring a high cost. For this reason, this process needs to be modeled using probabilistic analysis and reliability analysis with uncertainties in the corrosion phase. Considering the different maintenance strategies and life cycle analysis methods, the cost of maintenance and repair can be delayed. One of the corrosion effects on structure performance is crack on the concrete surface due to the expansion of the corrosion product. </span><span style="background: white;">The crack width is an important parameter for designing and evaluating the performance of concrete structures. Therefore, this paper presents an analytical model to calculate the crack width due to corrosion. Crack evolution in the concrete cover due to expansive corrosion products is investigated at different stages during crack propagation across the cover, from the reinforcing bar-concrete interface to the concrete. A merit of this model is that it is directly related to the factors that affect the corrosion-induced cracking process. Then, the predicted crack width is chosen as a stochastic variable and the probability of failure in concrete structures is calculated by using a stochastic deterioration model and the gamma process. The calculated probability is then used to calculate the life cycle cost and determine the optimal repair time by using the renewal process. The effect of structural parameters on the probability of failure is also investigated. The results show that the corrosion rate is one of the most important factors affecting the crack width, the probability of failure, and life cycle cost.</span><span style="letter-spacing: .05pt;">Corrosion of rebar is one of the major problems in reinforced concrete structures under a corrosive environment which causes serious damage to the structures. Corrosion of rebar is a complex process and one of the important factors of failure of reinforced concrete structures which reduces the strength and serviceability of the structures thus avoiding these adverse effects requiring a high cost. For this reason, this process needs to be modeled using probabilistic analysis and reliability analysis with uncertainties in the corrosion phase. Considering the different maintenance strategies and life cycle analysis methods, the cost of maintenance and repair can be delayed. One of the corrosion effects on structure performance is crack on the concrete surface due to the expansion of the corrosion product. </span><span style="background: white;">The crack width is an important parameter for designing and evaluating the performance of concrete structures. Therefore, this paper presents an analytical model to calculate the crack width due to corrosion. Crack evolution in the concrete cover due to expansive corrosion products is investigated at different stages during crack propagation across the cover, from the reinforcing bar-concrete interface to the concrete. A merit of this model is that it is directly related to the factors that affect the corrosion-induced cracking process. Then, the predicted crack width is chosen as a stochastic variable and the probability of failure in concrete structures is calculated by using a stochastic deterioration model and the gamma process. The calculated probability is then used to calculate the life cycle cost and determine the optimal repair time by using the renewal process. The effect of structural parameters on the probability of failure is also investigated. The results show that the corrosion rate is one of the most important factors affecting the crack width, the probability of failure, and life cycle cost.</span>https://ceej.aut.ac.ir/article_3797_3393ecc2e34315d00112f95f3da0a24d.pdf