Computational methods in service life modeling of concrete structures
نویسندگان
چکیده
Reinforced concrete (RC) Structures constructed over six decades ago are now approaching the end of their service life and showing serious level of deterioration and therefore, prediction of service life of structural materials and components has gained significance. With the increased efforts of researchers, development in computer knowledge and advancement in building materials science, it is possible to predict the service life of structures. Recently, Computational methods such as finite element analysis method (FEM or FEA), finite difference method (FDM) and artificial neural network (ANN) are becoming popular among researchers for modeling the service life of reinforced concrete structures. This article presents review of service life models developed through these computational tools. This article also evaluates the effect of age and concrete cover over the chloride content at rebar level of structures through ANN.
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