Currently, the Structural Health Monitoring (SHM) system is being frequently adopted at high-rise buildings, long span bridges, etc. for monitoring of the structural performances during their life spans. One of main purposes of the SHM system can be r...
Currently, the Structural Health Monitoring (SHM) system is being frequently adopted at high-rise buildings, long span bridges, etc. for monitoring of the structural performances during their life spans. One of main purposes of the SHM system can be regarded to evaluate damage locations and quantities. The Artificial Neural Network (ANN) is one of practical solutions for the damage evaluations because it can provide information about damage of the structure instantly. In this research, a method of the damage evaluation using the ANN was proposed and verified by using a 3-story RC mock-up structure. An application result is also introduced in this paper.