To suggest the preliminary data for effective maintenance of bridge structures, the damage patterns of expressway bridges are quantitatively analyzed in the present study. The defects are the primary damage, and the deterioration occurred around the joint.

It is necessary to improve the structure inspection system that integrates various new technologies such as artificial intelligence, big data, and the internet of things, which are core technologies of the 4th industrial revolution in oder to cope with continuously increase in the number of structures and to maintain efficient maintenance against aging.

The number of expressway structure management is continuously increasing, and the aging of structures is proceeding rapidly. In order to secure the safety of expressway structures, we propose improvement methods such as advancement of structure management system, lifetime improvement methods such as prevention of structure deterioration, and the preemptive reflection of the structure maintenance budget.

Due to limited human resources, budget and difficulties in accessibility, inspections are not available at proper time. Advanced Technology such as ICT, Sensing, and AI can innovate the management of structure. So, we introduce our developed equipment and future management plan.

Due to limited human resources, budget and difficulties in accessibility, inspections are not available at proper time. Advanced Technology such as ICT, Sensing, and AI can innovate the management of structure. So, we introduce our developed equipment and future management plan.