By using non-destructive inspection equipment, ultrasonic and schmidt hammer, this research performed non-destructive inspection of underwater concrete for more efficient management in underwater concrete structures. And based on instrumented rebound hardness and ultrasonic pulse velocity, we developed the underwater concrete structures-strength estimation models using artificial neural network.

• 이지성(성균관대학교 미래도시융합공학과) | Lee, Jisung
• 권혁진(성균관대학교 미래도시융합공학과) | Kwon, Hyuckjin
• 박승희(성균관대학교 건축토목공학부) | Park, Seunghee
• 한상훈(한국해양과학기술원 연안개발·에너지 연구부) | Han, Sang-Hun