The failure probability of reinforced concrete structures based on
symptom and cost optimization of maintenance using NSGA-II
Due to the increased life of marine structures in the world, repair and
maintenance of low cost and high reliability are of concern in this
industry. In this paper, the corrosion-induced crack width of reinforced
concrete (RC) structure in the marine environment is estimated according
to the experimental data, laboratory results, and numerical formulas.
Symptom-based Weibull function distribution and Bayesian theory have
been used to predict the structural reliability in different modes
(without repair and maintenance, with maintenance, and with repair and
maintenance). Bi-objective optimization was utilized to provide the
client with optimal decisions regarding the probability of structural
failure as well as the type of repair and maintenance strategies. The
results showed the effectiveness of the proposed method in predicting
performance, improving life service, and optimizing repair and
maintenance costs of the marine structure.