Multiple Cracks Detection in Pipeline Using Damage Index Matrix Based on Piezoceramic Transducer-Enabled Stress Wave Propagation

Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this paper, an active-sensing approach was conducted to identify the crack damage in pipeline structure using a stress wave propagation approach with...

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Published inSensors (Basel, Switzerland) Vol. 17; no. 8; p. 1812
Main Authors Du, Guofeng, Kong, Qingzhao, Zhou, Hua, Gu, Haichang
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 12.08.2017
MDPI
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ISSN1424-8220
1424-8220
DOI10.3390/s17081812

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Abstract Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this paper, an active-sensing approach was conducted to identify the crack damage in pipeline structure using a stress wave propagation approach with piezoceramic transducers. A pipeline segment instrumented with five distributed piezoceramic transducers was used as the testing specimen in this research. Four cracks were artificially cut on the specimen, and each crack had six damage cases corresponding to different crack depths. In this way, cracks at different locations with different damage degrees were simulated. In each damage case, one piezoceramic transducer was used as an actuator to generate a stress wave to propagate along the pipeline specimen, and the other piezoceramic transducers were used as sensors to detect the wave responses. To quantitatively evaluate the crack damage status, a wavelet packet-based damage index matrix was developed. Experimental results show that the proposed method can evaluate the crack severity and estimate the crack location in the pipeline structure based on the proposed damage index matrix. The sensitivity of the proposed method decreases with increasing distance between the crack and the mounted piezoceramic transducers.
AbstractList Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this paper, an active-sensing approach was conducted to identify the crack damage in pipeline structure using a stress wave propagation approach with piezoceramic transducers. A pipeline segment instrumented with five distributed piezoceramic transducers was used as the testing specimen in this research. Four cracks were artificially cut on the specimen, and each crack had six damage cases corresponding to different crack depths. In this way, cracks at different locations with different damage degrees were simulated. In each damage case, one piezoceramic transducer was used as an actuator to generate a stress wave to propagate along the pipeline specimen, and the other piezoceramic transducers were used as sensors to detect the wave responses. To quantitatively evaluate the crack damage status, a wavelet packet-based damage index matrix was developed. Experimental results show that the proposed method can evaluate the crack severity and estimate the crack location in the pipeline structure based on the proposed damage index matrix. The sensitivity of the proposed method decreases with increasing distance between the crack and the mounted piezoceramic transducers.
Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this paper, an active-sensing approach was conducted to identify the crack damage in pipeline structure using a stress wave propagation approach with piezoceramic transducers. A pipeline segment instrumented with five distributed piezoceramic transducers was used as the testing specimen in this research. Four cracks were artificially cut on the specimen, and each crack had six damage cases corresponding to different crack depths. In this way, cracks at different locations with different damage degrees were simulated. In each damage case, one piezoceramic transducer was used as an actuator to generate a stress wave to propagate along the pipeline specimen, and the other piezoceramic transducers were used as sensors to detect the wave responses. To quantitatively evaluate the crack damage status, a wavelet packet-based damage index matrix was developed. Experimental results show that the proposed method can evaluate the crack severity and estimate the crack location in the pipeline structure based on the proposed damage index matrix. The sensitivity of the proposed method decreases with increasing distance between the crack and the mounted piezoceramic transducers.Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this paper, an active-sensing approach was conducted to identify the crack damage in pipeline structure using a stress wave propagation approach with piezoceramic transducers. A pipeline segment instrumented with five distributed piezoceramic transducers was used as the testing specimen in this research. Four cracks were artificially cut on the specimen, and each crack had six damage cases corresponding to different crack depths. In this way, cracks at different locations with different damage degrees were simulated. In each damage case, one piezoceramic transducer was used as an actuator to generate a stress wave to propagate along the pipeline specimen, and the other piezoceramic transducers were used as sensors to detect the wave responses. To quantitatively evaluate the crack damage status, a wavelet packet-based damage index matrix was developed. Experimental results show that the proposed method can evaluate the crack severity and estimate the crack location in the pipeline structure based on the proposed damage index matrix. The sensitivity of the proposed method decreases with increasing distance between the crack and the mounted piezoceramic transducers.
Author Kong, Qingzhao
Du, Guofeng
Zhou, Hua
Gu, Haichang
AuthorAffiliation 1 School of Urban Construction, Yangtze University, 434023 Jingzhou, China; gfdu@yangtzeu.edu.cn
2 Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA; qkong@uh.edu
3 School of Civil Engineering and Architecture, Wuhan University of Technology, 430072 Wuhan, China; zhouhua@whut.edu.cn
AuthorAffiliation_xml – name: 2 Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA; qkong@uh.edu
– name: 3 School of Civil Engineering and Architecture, Wuhan University of Technology, 430072 Wuhan, China; zhouhua@whut.edu.cn
– name: 1 School of Urban Construction, Yangtze University, 434023 Jingzhou, China; gfdu@yangtzeu.edu.cn
Author_xml – sequence: 1
  givenname: Guofeng
  surname: Du
  fullname: Du, Guofeng
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  givenname: Qingzhao
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  surname: Kong
  fullname: Kong, Qingzhao
– sequence: 3
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  surname: Zhou
  fullname: Zhou, Hua
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  givenname: Haichang
  surname: Gu
  fullname: Gu, Haichang
BackLink https://www.ncbi.nlm.nih.gov/pubmed/28805666$$D View this record in MEDLINE/PubMed
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Keywords multiple cracks detection
piezoceramic transducer
pipeline crack detection
structural health monitoring
wavelet packet analysis
stress wave propagation
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Snippet Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this...
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StartPage 1812
SubjectTerms Cracks
multiple cracks detection
piezoceramic transducer
pipeline crack detection
Propagation
stress wave propagation
structural health monitoring
wavelet packet analysis
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Title Multiple Cracks Detection in Pipeline Using Damage Index Matrix Based on Piezoceramic Transducer-Enabled Stress Wave Propagation
URI https://www.ncbi.nlm.nih.gov/pubmed/28805666
https://www.proquest.com/docview/1939790186
https://www.proquest.com/docview/1928783986
https://pubmed.ncbi.nlm.nih.gov/PMC5579845
https://doaj.org/article/731f331909fa494c8507b8a0d6117f46
Volume 17
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