DEVELOPMENT OF CLASSIFICATION MODEL FOR REPAIR PRIORITY USING CRACK MAP BY REGULAR BRIDGE INSPECTION

Abstract

In Japan, there is a discussion about the replacement or extension of the service life of the bridges built during the rapid economic growth period, which are now reaching the end of their planned service period. As issues with the continuing close visual inspection of bridges are surfacing, the remote imaging system is expected to become a new inspection method that replaces close visual inspection. Although the automation of the creation of the data of damage has been achieved, the automation of the diagnosis of the soundness level has not been performed. In this research, we proposed a method to extract the feature quantity of damage from the damage map in the past inspection result by using image analysis such as pattern matching. In addition, the damage affecting the diagnosis was clarified by performing the decision tree analysis with the extracted feature quantity of the damage as the explanatory variable and the diagnosis result of the maintenance strategy as the objective variable.