Trans. Korean Soc. Noise Vib. Eng., 25(12) : 830~842, 2015 한국소음진동공학회논문집 제25 권 제12 호, pp. 830~842, 2015 http://dx.doi.org/10.5050/KSNVE.2015.25.12.830 ISSN 1598-2785(Print), ISSN 2287-5476(Online) 830 ┃ Trans. Korean Soc. Noise Vib. Eng., 25(12) : 830~842, 2015 대량 조 건전도 모니터링 한 조식별 기술 - 최적 센싱 및 FE 모델 개선 중심로 - Structural Identification for Structural Health Monitoring of Long-span Bridge - Focusing on Optimal Sensing and FE Model Updating - 허  희 * ․ 전 준 용 † Gwanghee Heo and Joonryong Jeon (Received October 14, 2015 ; Revised November 25, 2015 ; Accepted November 25, 2015) Key Words : Optimal Sensor Location(최적 센서 ), Finite Element Model Update(한요소 모델 개선), Kinetic Energy Optimization Technique(최적동에너지법), Direct Matrix Updating Method(직접행렬 개선법), Structural Health Monitoring(조건전도 모니터링), Structural Identification(조 식별) ABSTRACT This paper aims to develop a SI(structural identification) technique using the kinetic energy opti- mization technique(KEOT) and the direct matrix updating method(DMUM) to decide on optimal loca- tion of sensors and to update FE model respectively, which ultimately contributes to a composition of more effective SHM. Owing to the characteristic structural flexing behavior of cable bridges, which makes them vulnerable to any vibration, systematic and continuous structural health monitoring (SHM) is pivotal for them. Since it is necessary to select optimal measurement locations with the fewest possible measurements and also to accurately assess the structural state of a bridge for the development of an effective SHM, a SI technique is as much important to accurately determine the modal parameters of the current structure based on the data optimally obtained. In this study, the KEOT was utilized to determine the optimal measurement locations, while the DMUM was utilized for FE model updating. As a result of experiment, the required number of measurement locations de- rived from KEOT based on the target mode was reduced by approximately 80 % compared to the initial number of measurement locations. Moreover, compared to the eigenvalue of the modal experi- ment, an improved FE model with a margin of error of less than 1 % was derived from DMUM. Finally, the SI technique for long-span bridges proposed in this study, which utilizes both KEOT and DMUM, is proven effective in minimizing the number of sensors while accurately determining the structural dynamic characteristics. * 1. 서 론 건설조 시 후 점진적 노후화뿐만 아니 라 다양한 험환로부터 조적 함 발생될 수 며, 는 설수명 단축, 조손상, 파 등 심각한 조적 제를 야기 시킬 수 다. 특 히 용 중 발생되는 진동에 약한 대형 건설 † Corresponding Author ; Member, Civil Eng., Konyang University E-mail : jrjeon@kyu.ac.kr * Member, Civil Eng., Konyang University ‡ Recommended by Hyung-Jo Jung ⓒ The Korean Society for Noise and Vibration Engineering