In this study, experiments were conducted for the maintenance, repair and management. The compressive strength of recycled concrete was estimated by using the ultrasonic pulse velocity for performance evaluation and state evaluation of the structure. In order to improve reliability of the results, the algorithm was implemented by using the artificial neural networks.

• 이용택(한밭대학교 건축공학과 교수, 공학박사) | Lee Yong Taeg
• 윤여문(한밭대학교 건축공학과 학사과정) | Youn Yeo Moon
• 이건모(한밭대학교 건축공학과 조교, 공학석사) | Lee Goen Mo
• 홍성욱(한밭대학교 건축공학과 강사, 공학박사) | Hong Seong Uk 교신저자