Visualization of defects in CFRP-reinforced steel structures using improved eddy current pulsed thermography

Carbon Fiber Reinforced Plastic (CFRP) has been increasingly utilized to repair damaged steel structures, and inspection of the resulted CFRP-reinforced steel structures is crucial but still challenging. Different physical characteristics of steel, CFRP and epoxy resin bring difficulties to accurate...

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Veröffentlicht in:Automation in construction Jg. 145; S. 104643
Hauptverfasser: Xie, Jing, Xu, Changhang, Wu, Changwei, Gao, Lemei, Chen, Guoming, Li, Guozhen, Song, Gangbing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.01.2023
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ISSN:0926-5805, 1872-7891
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Abstract Carbon Fiber Reinforced Plastic (CFRP) has been increasingly utilized to repair damaged steel structures, and inspection of the resulted CFRP-reinforced steel structures is crucial but still challenging. Different physical characteristics of steel, CFRP and epoxy resin bring difficulties to accurate detection and clear visualization of internal defects in the hybrid structures. In this study, eddy current pulsed thermography (ECPT) was exploited to inductively heat the inspected structures and a stacked autoencoder (SAE) model was constructed to extract pixel-wise thermal features and generate images for visualization of internal defects. Experimental results on specimens with prefabricated debondings, delaminations and cracks validated efficiency of the proposed method. Clear visualization of defects provided by the proposed method is greatly beneficial for accurate detection and efficient information retrieval of internal defects in structures. In future studies, performance of the proposed method for other kinds of defects in CFRP-reinforced steel structures should be investigated. •A method is developed for visualization of internal defects in carbon fiber reinforced plastic (CFRP) -reinforced steel structures.•Eddy current pulsed thermography (ECPT) induces anomalous temperature distribution on CFRP surfaces.•A stacked autoencoder (SAE) model extracts pixel-wise thermal features from ECPT inspection data.•Images with indications of defects are constructed based on the extracted thermal features.•Effectiveness of the method on debondings, delaminations and cracks was experimentally investigated and verified.
AbstractList Carbon Fiber Reinforced Plastic (CFRP) has been increasingly utilized to repair damaged steel structures, and inspection of the resulted CFRP-reinforced steel structures is crucial but still challenging. Different physical characteristics of steel, CFRP and epoxy resin bring difficulties to accurate detection and clear visualization of internal defects in the hybrid structures. In this study, eddy current pulsed thermography (ECPT) was exploited to inductively heat the inspected structures and a stacked autoencoder (SAE) model was constructed to extract pixel-wise thermal features and generate images for visualization of internal defects. Experimental results on specimens with prefabricated debondings, delaminations and cracks validated efficiency of the proposed method. Clear visualization of defects provided by the proposed method is greatly beneficial for accurate detection and efficient information retrieval of internal defects in structures. In future studies, performance of the proposed method for other kinds of defects in CFRP-reinforced steel structures should be investigated. •A method is developed for visualization of internal defects in carbon fiber reinforced plastic (CFRP) -reinforced steel structures.•Eddy current pulsed thermography (ECPT) induces anomalous temperature distribution on CFRP surfaces.•A stacked autoencoder (SAE) model extracts pixel-wise thermal features from ECPT inspection data.•Images with indications of defects are constructed based on the extracted thermal features.•Effectiveness of the method on debondings, delaminations and cracks was experimentally investigated and verified.
ArticleNumber 104643
Author Song, Gangbing
Xie, Jing
Li, Guozhen
Wu, Changwei
Gao, Lemei
Chen, Guoming
Xu, Changhang
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  givenname: Changhang
  surname: Xu
  fullname: Xu, Changhang
  email: chxu@upc.edu.cn
  organization: College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China
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  givenname: Changwei
  surname: Wu
  fullname: Wu, Changwei
  email: changweiwu_upc@hotmail.com
  organization: College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China
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  givenname: Lemei
  surname: Gao
  fullname: Gao, Lemei
  email: gaolemeihx@163.com
  organization: College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China
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  givenname: Guoming
  surname: Chen
  fullname: Chen, Guoming
  email: gmchen@upc.edu.cn
  organization: College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China
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  givenname: Guozhen
  surname: Li
  fullname: Li, Guozhen
  email: guozhenli76@163.com
  organization: College of Mechanical and Transportation Engineering, China University of Petroleum (Beijing), Beijing 102249, China
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  givenname: Gangbing
  surname: Song
  fullname: Song, Gangbing
  email: gsong@uh.edu
  organization: Department of Mechanical Engineering, University of Houston, Houston, 77004, TX, United States
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Keywords Stacked autoencoder (SAE)
Eddy current pulsed thermography (ECPT)
Internal defects
Visualization of defects
Carbon fiber reinforced plastic (CFRP)
Language English
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Snippet Carbon Fiber Reinforced Plastic (CFRP) has been increasingly utilized to repair damaged steel structures, and inspection of the resulted CFRP-reinforced steel...
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Publisher
StartPage 104643
SubjectTerms Carbon fiber reinforced plastic (CFRP)
Eddy current pulsed thermography (ECPT)
Internal defects
Stacked autoencoder (SAE)
Visualization of defects
Title Visualization of defects in CFRP-reinforced steel structures using improved eddy current pulsed thermography
URI https://dx.doi.org/10.1016/j.autcon.2022.104643
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