논문 상세보기
수중 반발경도법 및 초음파속도를 연계하는 인공신경망 기반 수중 항만 콘크리트 구조물의 강도 추정 기법
Compressive Strength Estimation Technique of Underwater Concrete Using Artificial Neural Network with Rebound Hardness Method and Ultrasonic Pulse Method
이지성, 권혁진, 박승희, 한상훈
- 언어KOR
- URLhttps://db.koreascholar.com/Article/Detail/287462
초록
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.
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