An Improved Structural Displacement Monitoring Approach by Acceleration-Aided Tilt Camera Measurement
نویسندگان
چکیده
Computer vision is becoming one of the most popular remote-sensing techniques and has been used widely in displacement monitoring damage identification in-service bridges. Nevertheless, several obstacles, including limited sampling rate, insufficient resolution for remote measurement, error induced by camera tilting, restrict application vision-based approaches structural health (SHM). The combination a traditional SHM system modern technique can significantly improve accuracy reliability system. To make full use data collected computer overcome their shortcomings, we presented an improved bridge estimation approach purposes fusing camera-based acceleration measurements. First, estimated scaling factor, which transfers pixel to real under tilt photogrammetry, reconstructed displacements same frequency band without actual size structure or measurement parameters. Then, extracted low-frequency from fused high-frequency that was achieve high-accuracy estimation. efficiency this method validated through dynamic load tests on suspension model laboratory field highway subway cable-stayed bridge.
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ژورنال
عنوان ژورنال: Structural control & health monitoring
سال: 2023
ISSN: ['1545-2263', '1545-2255']
DOI: https://doi.org/10.1155/2023/6247516