主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2022
開催日: 2022/06/01 - 2022/06/04
This paper presents a video-based active sensing method that can monitor structural anomalies such as cracks by inspecting structural parameter changes with digital image correlation analysis when a load is operationally shifting on a structure to be analyzed. Several experiments were conducted for structural anomalies visualization on an aluminum cantilever beam of 2-meter length by analyzing sub-pixel displacement distributions on many points for high-resolution video sequences at hundreds of frames per second. The effectiveness of our concept was verified by showing the temporal changes of vibration spectra with specific peak frequencies when a load of 100-gram weight was passing around the artificially-made crack of the cantilever beam.