| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
This study attempted to develop the crack detection system using non-contact displacement measurements which can identify crack and the damage inside structure quantitatively without requiring baseline information. We succeeded in detecting the invisible crack by evaluating the maximum principal strain and the principal direction from the displacement fields and their time-history. It was demonstrated that the proposed system makes it possible to quantify the crack.
As another attempt in this study, we developed a screening system of cracks, which can be easily installed into UAV or inspection robots, using general object detection technology based on deep learning. We succeeded in detecting the crack instantaneously by using deep convolution neural network while shooting a video. It was demonstrated that the proposed system has potentialities to inspect the space where an inspector is difficult to approach and locate the crack to be quantified from the whole structure on the spot.
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