Electrical Impedance Spectroscopy-Based Defect Sensing Technique in Estimating Cracks

A defect sensing method based on electrical impedance spectroscopy is proposed to image cracks and reinforcing bars in concrete structures. The method utilizes the frequency-dependent behavior of thin insulating cracks: low-frequency electrical currents are blocked by insulating cracks, whereas high...

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Main Authors: Tingting Zhang, Liangdong Zhou, Habib Ammari, Jin Keun Seo
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/5/10909
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spelling doaj-d83a6cfa23554a2a8795c27b597c10652020-11-24T21:23:14ZengMDPI AGSensors1424-82202015-05-01155109091092210.3390/s150510909s150510909Electrical Impedance Spectroscopy-Based Defect Sensing Technique in Estimating CracksTingting Zhang0Liangdong Zhou1Habib Ammari2Jin Keun Seo3Department of Computational Science and Engineering, Yonsei University, Seoul 120-749, KoreaDepartment of Computational Science and Engineering, Yonsei University, Seoul 120-749, KoreaDepartment of Mathematics and Applications, Ecole Normale Supérieure, 45 Rue d'Ulm, 75005 Paris, FranceDepartment of Computational Science and Engineering, Yonsei University, Seoul 120-749, KoreaA defect sensing method based on electrical impedance spectroscopy is proposed to image cracks and reinforcing bars in concrete structures. The method utilizes the frequency-dependent behavior of thin insulating cracks: low-frequency electrical currents are blocked by insulating cracks, whereas high-frequency currents can pass through thin cracks to probe the conducting bars. From various frequency-dependent electrical impedance tomography (EIT) images, we can show its advantage in terms of detecting both thin cracks with their thickness and bars. We perform numerical simulations and phantom experiments to support the feasibility of the proposed method.http://www.mdpi.com/1424-8220/15/5/10909defect sensingimpedance spectroscopyinverse problemconcrete cracks
collection DOAJ
language English
format Article
sources DOAJ
author Tingting Zhang
Liangdong Zhou
Habib Ammari
Jin Keun Seo
spellingShingle Tingting Zhang
Liangdong Zhou
Habib Ammari
Jin Keun Seo
Electrical Impedance Spectroscopy-Based Defect Sensing Technique in Estimating Cracks
Sensors
defect sensing
impedance spectroscopy
inverse problem
concrete cracks
author_facet Tingting Zhang
Liangdong Zhou
Habib Ammari
Jin Keun Seo
author_sort Tingting Zhang
title Electrical Impedance Spectroscopy-Based Defect Sensing Technique in Estimating Cracks
title_short Electrical Impedance Spectroscopy-Based Defect Sensing Technique in Estimating Cracks
title_full Electrical Impedance Spectroscopy-Based Defect Sensing Technique in Estimating Cracks
title_fullStr Electrical Impedance Spectroscopy-Based Defect Sensing Technique in Estimating Cracks
title_full_unstemmed Electrical Impedance Spectroscopy-Based Defect Sensing Technique in Estimating Cracks
title_sort electrical impedance spectroscopy-based defect sensing technique in estimating cracks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-05-01
description A defect sensing method based on electrical impedance spectroscopy is proposed to image cracks and reinforcing bars in concrete structures. The method utilizes the frequency-dependent behavior of thin insulating cracks: low-frequency electrical currents are blocked by insulating cracks, whereas high-frequency currents can pass through thin cracks to probe the conducting bars. From various frequency-dependent electrical impedance tomography (EIT) images, we can show its advantage in terms of detecting both thin cracks with their thickness and bars. We perform numerical simulations and phantom experiments to support the feasibility of the proposed method.
topic defect sensing
impedance spectroscopy
inverse problem
concrete cracks
url http://www.mdpi.com/1424-8220/15/5/10909
work_keys_str_mv AT tingtingzhang electricalimpedancespectroscopybaseddefectsensingtechniqueinestimatingcracks
AT liangdongzhou electricalimpedancespectroscopybaseddefectsensingtechniqueinestimatingcracks
AT habibammari electricalimpedancespectroscopybaseddefectsensingtechniqueinestimatingcracks
AT jinkeunseo electricalimpedancespectroscopybaseddefectsensingtechniqueinestimatingcracks
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