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Indexed by:会议论文

Date of Publication:2017-09-12

Journal:11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017

Included Journals:EI、Scopus

Volume:2

Page Number:3263-3270

Abstract:The portable and rapid cable force measurement for cable-supported structures, such as a cable-stayed bridge and a suspension bridge, has an important and practical significance in the evaluation of initial damage and the recovery of transportation networks after severe events such as earthquake and typhoon. Extracting natural frequencies of cable is considered as an essential issue in the cable force estimation. Therefore, in this study, a nontarget vision-based approach is proposed for identifying the natural frequencies of cable using handheld shooting of smartphone camera. The boundary of cable is selected as a target to be tracked in the region of interest (ROI) of video image sequence captured by smartphone camera, and the natural frequencies of cable are identified according to its dynamic displacement responses in frequency domain. The moving average is adopted to eliminate the noise associated with shaking of smartphone camera during measurement. A laboratory scale cable model test is carried out to evaluate the proposed approach. The results demonstrate the feasibility of vision-based cable force estimation using smartphone camera.