Abstract
In order to establish a rational bridge maintenance program, it is inevitable to determine the deterioration curves of various components of bridges. However, it is difficult to identify appropriate deterioration curves because of various uncertainties involved in the prediction process and environment evaluation. Furthermore, it is necessary to take into account the effects of natural hazards. Under the situation, although the existing bridges should be kept in a safety condition through inspection and maintenance works, it is not easy to maintain them in a satisfactory level, because of the financial constraints. In this study, an attempt is made to develop an optimal maintenance planning system. In the proposed system, an optimal maintenance scheduling is obtained with Genetic Algorithm and Monte Carlo Simulation, in which the deterioration curve can be updated by using the data given from the structural health monitoring or periodical inspection. Several numerical examples are presented to demonstrate the applicability and efficiency of the proposed method.
