Detection of corrosion on the underside of stiffening girders of long-span bridges using image diagnosis and linking it with BIM

Abstract

Much of the infrastructure built during the period of high economic growth is now aging, and issues such as a shortage of engineers and long working hours have become significant problems. As a result, there is a growing demand for more efficient and automated inspections. Currently, bridge inspections are largely dependent on the manual labor of engineers, which can be considered inefficient. In this study, we developed a method targeting long-span bridge with a wide inspection range. Using a permanently installed inspection vehicle, we photographed the underside of the stiffening girders and employed image diagnosis technology to automatically measure the location and area of corrosion. By reflecting these results in a 3D model known as BIM (Building Information Modeling), we can achieve more efficient management. Furthermore, we verified the effectiveness of this method on an actual long-span bridge.