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Experimental Study and FEM Simulations for Detection of Rebars in Concrete Slabs by Coplanar Capacitive Sensing Technique.
Abdollahi-Mamoudan, Farima; Ibarra-Castanedo, Clemente; Filleter, Tobin; Maldague, Xavier P V.
Afiliación
  • Abdollahi-Mamoudan F; Department of Electrical and Computer Engineering, Université Laval, 1065 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
  • Ibarra-Castanedo C; Department of Electrical and Computer Engineering, Université Laval, 1065 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
  • Filleter T; Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College, Toronto, ON M5S 3G8, Canada.
  • Maldague XPV; Department of Electrical and Computer Engineering, Université Laval, 1065 Avenue de la Médecine, Québec, QC G1V 0A6, Canada.
Sensors (Basel) ; 22(14)2022 Jul 20.
Article en En | MEDLINE | ID: mdl-35891079
In the present study, a relatively novel non-destructive testing (NDT) method called the coplanar capacitive sensing technique was applied in order to detect different sizes of rebars in a reinforced concrete (RC) structure. This technique effectively detects changes in the dielectric properties during scanning in various sections of concrete with and without rebars. Numerical simulations were carried out by three-dimensional (3D) finite element modelling (FEM) in COMSOL Multiphysics software to analyse the impact of the presence of rebars on the electric field generated by the coplanar capacitive probe. In addition, the effect of the presence of a surface defect on the rebar embedded in the concrete slab was demonstrated by the same software for the first time. Experiments were performed on a concrete slab containing rebars, and were compared with FEM results. The results showed that there is a good qualitative agreement between the numerical simulations and experimental results.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Qualitative_research Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Qualitative_research Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza