Research on crack identification and monitoring method of concrete structure based on G-S-G

LI Kexin1, WANG Jun1, QI Dawei2

Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (11) : 101-108.

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (11) : 101-108.

Research on crack identification and monitoring method of concrete structure based on G-S-G

  • LI Kexin1, WANG Jun1, QI Dawei2
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Abstract

In order to solve the problem of accurate monitoring of cracks in modern concrete structures under complex constraints, an intelligent monitoring method for cracks in concrete structures based on G-S-G is proposed. Combining the gray level co-occurrence matrix theory (GLCM) and the self-organizing feature mapping neural network (SOM) model, and through the digital image processing technology (DIP) and digital feature screening (DFS) analysis to study the intelligent methods that can improve the crack identification and monitoring accuracy of concrete structures. The feasibility and accuracy of the method are verified by the eccentric compression test of the column. The results show that under the limited sample space, the crack identification model based on GLCM-SOM can eliminate the interference of environmental factors and defects such as holes and depressions through the construction of six standard feature samples (P1-P6 in Tab.1).Therefore, obtaining higher recognition accuracy. The crack monitoring data based on SOM-GLCM shows that the selected damage characteristics index has a good linear relationship with the development of cracks (as shown in Fig.12). Therefore, COR and CLS can be used as sensitive indicators of crack propagation trends. The proposed G-S-G method fully combines the unique advantages of GLCM and SOM to establish a network model for accurately identifying crack damage and effectively monitor the development trend of cracks. This research process can help to achieve high-precision and intelligent health monitoring of crack damage in modern concrete structures.

Key words

structural damage detection / digital image processing / self-organization map / gray level co-occurrence matrix / damage index / crack monitoring

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LI Kexin1, WANG Jun1, QI Dawei2. Research on crack identification and monitoring method of concrete structure based on G-S-G[J]. Journal of Vibration and Shock, 2020, 39(11): 101-108

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