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Smart Structures and Systems Volume 32, Number 4, October 2023 , pages 219-233 DOI: https://doi.org/10.12989/sss.2023.32.4.219 |
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A fast and simplified crack width quantification method via deep Q learning |
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Xiong Peng, Kun Zhou, Bingxu Duan, Xingu Zhong, Chao Zhao and Tianyu Zhang
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| Abstract | ||
| Crack width is an important indicator to evaluate the health condition of the concrete structure. The crack width is measured by manual using crack width gauge commonly, which is time-consuming and laborious. In this paper, we have proposed a fast and simplified crack width quantification method via deep Q learning and geometric calculation. Firstly, the crack edge is extracted by using U-Net network and edge detection operator. Then, the intelligent decision of is made by the deep Q learning model. Further, the geometric calculation method based on endpoint and curvature extreme point detection is proposed. Finally, a case study is carried out to demonstrate the effectiveness of the proposed method, achieving high precision in the real crack width quantification. | ||
| Key Words | ||
| concrete crack; crack width measurement; curvature extreme point; deep Q learning; geometric simplification | ||
| Address | ||
| "(1) Hunan University of Science and Technology, Taoyuan Road, Yuhu District, Xiangtan, China; (2) Hunan Provincial Key Laboratory of Structures for Wind Resistance and Vibration Control & School of Civil Engineering, Hunan University of Science and Technology, Taoyuan Road, Yuhu District, Xiangtan, China." | ||