Abstract
This paper proposed a method of Bayes estimation of the corrosion rate of reinforcing bars for each transformation process and prediction of peeling/falling area of covering concrete considering uncertainty based on visual observation information. The proposed method allows to estimate the corrosion rate of reinforcing bars before an d after cracking with accuracy of about -35 to + 35% peeling/falling area can be predicted with accuracy of about -5 to + 15% even if the chloride ion concentration and the neutralization rate is not measured. As a result of applying to the actual structure of 45 years, the standard corrosion rate of internal salt damage and composite deterioration was 30 to 70% and the corrosion rate of the reinforcing bar increased by about 140% on average due to cracking. Based on the deterioration prediction result, the optimum repair area when the sum of maintenance cost becomes the minimum was 10 m2, which is about 40% of the cost saving effect compared with the method of repairing only the visible peeling area.
