TY - GEN
T1 - Visualized steel cable NDE technique using multi-channel MFL sensor
AU - Park, S.
AU - Kim, J. W.
AU - Lee, J. J.
PY - 2013
Y1 - 2013
N2 - A visualized cable monitoring system is proposed that uses a magnetic flux leakage (MFL)-based nondestructive evaluation (NDE) technique and a cableclimbing robot to detect the local faults (LF) of steel cable in long span bridges. To verify the feasibility of the proposed damage detection technique, a multi-channel MFL sensor head was designed and fabricated. A steel cable specimen with several types of damage was fabricated, and scanned by the fabricated MFL sensor head to measure the magnetic flux density of the specimen. To interpret the condition of the steel cable, measured magnetic flux signals were used to determine the locations and the levels of damage. Measured signals from the damaged specimen were compared with thresholds that were set for objective decision-m aking. In addition, the m easured magnetic flux signal was visualized as a 3D MFL image for convenient cable monitoring. Visualized results were compared with information on actual inflicted damages, to confirm the accuracy and effectiveness of the proposed cable monitoring method.
AB - A visualized cable monitoring system is proposed that uses a magnetic flux leakage (MFL)-based nondestructive evaluation (NDE) technique and a cableclimbing robot to detect the local faults (LF) of steel cable in long span bridges. To verify the feasibility of the proposed damage detection technique, a multi-channel MFL sensor head was designed and fabricated. A steel cable specimen with several types of damage was fabricated, and scanned by the fabricated MFL sensor head to measure the magnetic flux density of the specimen. To interpret the condition of the steel cable, measured magnetic flux signals were used to determine the locations and the levels of damage. Measured signals from the damaged specimen were compared with thresholds that were set for objective decision-m aking. In addition, the m easured magnetic flux signal was visualized as a 3D MFL image for convenient cable monitoring. Visualized results were compared with information on actual inflicted damages, to confirm the accuracy and effectiveness of the proposed cable monitoring method.
UR - https://www.scopus.com/pages/publications/84945179058
M3 - Conference contribution
AN - SCOPUS:84945179058
T3 - Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
SP - 748
EP - 755
BT - Structural Health Monitoring 2013
A2 - Chang, Fu-Kuo
PB - DEStech Publications
T2 - 9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
Y2 - 10 September 2013 through 12 September 2013
ER -