MODELING THE CORROSION OF REINFORCED CONCRETE STRUCTURES BASED ON THE FUZZY SYSTEMS

Reinforced concrete structures are susceptible to be deteriorated in harsh environments. One of the major causes of deterioration of RC structures in these environments is the corrosion of their reinforcements. Generally the corrosion of reinforcements involves some uncertainties. In brief these uncertainties can be categorized into classes: 1) random nature of corrosion process and 2) linguistic terms of construction process. The first one is successfully handled by probabilistic methods, but to deal with the linguistic ambiguities, the fuzzy systems are general form of confrontation. One main problem is to obtain the fuzzy membership functions of corrosion process; in particular, the corrosion initiation and propagating time periods. In this paper we developed an algorithm to extract the fuzzy membership functions from the available stochastic information. In this regard, an integrated system proposed to convert the robabilistic information into the corresponding fuzzy sets. In this process, a genetic algorithm optimization utilized to gain the standard Triangular and Trapezoidal fuzzy sets, by means of minimizing the distance of fuzzy sets from the corresponding normalized probability density functions.

کلیدواژه ها:

reinforced concrete ، corrosion ، service life ، probability ، fuzzy variables ، genetic algorithm