Literature DB >> 26007713

Electrical impedance spectroscopy-based defect sensing technique in estimating cracks.

Tingting Zhang1, Liangdong Zhou2, Habib Ammari3, Jin Keun Seo4.   

Abstract

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.

Entities:  

Keywords:  concrete cracks; defect sensing; impedance spectroscopy; inverse problem

Year:  2015        PMID: 26007713      PMCID: PMC4481952          DOI: 10.3390/s150510909

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Multi-frequency EIT system with radially symmetric architecture: KHU Mark1.

Authors:  Tong In Oh; Eung Je Woo; David Holder
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

2.  Validation of a multi-frequency electrical impedance tomography (mfEIT) system KHU Mark1: impedance spectroscopy and time-difference imaging.

Authors:  Tong In Oh; Hwan Koo; Kyung Heon Lee; Sang Min Kim; Jeehyun Lee; Sung Wan Kim; Jin Keun Seo; Eung Je Woo
Journal:  Physiol Meas       Date:  2008-02-11       Impact factor: 2.833

  2 in total
  1 in total

1.  Estimating the Volume of Unknown Inclusions in an Electrically Conducting Body with Voltage Measurements.

Authors:  Antonio Affanni; Ruben Specogna; Francesco Trevisan
Journal:  Sensors (Basel)       Date:  2019-02-02       Impact factor: 3.576

  1 in total

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