Crack Monitoring of RC Columns Under Cyclic Loading Based on Computer Vision

SONG Chenghao; CHEN Shucheng; HU Xiaobin; YUAN Huanxin

doi:10.13204/j.gyjzG22070112

Volume 52 Issue 10

Oct. 2022

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SONG Chenghao, CHEN Shucheng, HU Xiaobin, YUAN Huanxin. Crack Monitoring of RC Columns Under Cyclic Loading Based on Computer Vision[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 53-60. doi: 10.13204/j.gyjzG22070112

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Crack Monitoring of RC Columns Under Cyclic Loading Based on Computer Vision

doi: 10.13204/j.gyjzG22070112

School of Civil Engineering, Wuhan University, Wuhan 430072, China

Received Date: 2022-07-01
Available Online: 2023-03-22

Abstract

Abstract

Based on computer vision, the procedure of recognizing wide-range cracks on the surface of concrete members was presented by obtaining the wide-range crack images through image stitching, and identifying cracks by the threshold segmentation. Adopting the procedure, crack monitoring was conducted on a reinforced concrete (RC) column under cyclic loading to study crack development on the surface during loading and unloading processes. The results showed that wide-range concrete surfaces with cracks could be photographed in a sub-regional way with consumer-grade mobile phones. By further stitching the photos together, the cracks were finely recognized. The proposed procedure could be well used to recognize wide-range cracks on the surface of RC columns with relatively higher identification accuracy regarding crack width, length and inclined angles. In addition, with the increase of displacement amplifude, the width, length and areas of cracks on the surface of the RC column increased, the inclined angles decreased, and then the damage increased.
- computer vision,
- wide-range crack recognition,
- image stitching,
- cyclic loading,
- crack monitoring

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References

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