Underground concrete pipe crack damage monitoring by the fuzzy analysis of microseism

Abstract Underground concrete pipes are critical for the safety of urban infrastructure. Cracks could lead to accidents such as fluid spillage and ground subsidence, as well as waterlogging. Thus, it is of great significance to measure and monitor the crack of pipeline. In this study, a fuzzy monitoring method for concrete pipe crack damage based on the microseism signal Gaussian Mixed Model (GMM) analysis was proposed. First, the multiple parameters of the microseism signal were extracted. Then, Criteria Importance Through Intercriteria Correlation (CRITIC) weight vector was constructed using the importance information of parameters. Furthermore, the GMM membership matrix was created by the similarity of the probability density distribution. The crack condition was assessed by means of a fuzzy calculation between the weight vector and membership matrix. The experiment indicated that the proposed method can monitor and assess the different crack conditions in real time.

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Publication Details

Journal
Measurement Science and Technology
Published
2024-09-03
DOI
https://doi.org/10.1088/1361-6501/ad76cd
Citations
2
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
Field-Weighted Citation Impact
0.54

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article

Underground concrete pipe crack damage monitoring by the fuzzy analysis of microseism

Kai Tao, Yaoxin Jiang
2 citations
Measurement Science and Technology
Ultrasonics and Acoustic Wave Propagation
0.54
article

Underground concrete pipe crack damage monitoring by the fuzzy analysis of microseism

Kai Tao, Yaoxin Jiang
article en
2 citations

Abstract

Abstract Underground concrete pipes are critical for the safety of urban infrastructure. Cracks could lead to accidents such as fluid spillage and ground subsidence, as well as waterlogging. Thus, it is of great significance to measure and monitor the crack of pipeline. In this study, a fuzzy monitoring method for concrete pipe crack damage based on the microseism signal Gaussian Mixed Model (GMM) analysis was proposed. First, the multiple parameters of the microseism signal were extracted. Then, Criteria Importance Through Intercriteria Correlation (CRITIC) weight vector was constructed using the importance information of parameters. Furthermore, the GMM membership matrix was created by the similarity of the probability density distribution. The crack condition was assessed by means of a fuzzy calculation between the weight vector and membership matrix. The experiment indicated that the proposed method can monitor and assess the different crack conditions in real time.

Measurement Science and TechnologyVol. 35(12)
Nanjing Foreign Language School (CN), Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province
Sustainable cities and communities
Openalex Percentile: Top 40%
Ultrasonics and Acoustic Wave Propagation
0.54
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Underground concrete pipe crack damage monitoring by the fuzzy analysis of microseism — Kai Tao, Yaoxin Jiang · Measurement Science and Technology (2024) | TGRS Research Map | TGRS