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Surface-Wave Based Model for Estimation of Discontinuity Depth in Concrete

In this paper, we propose an accurate and practical model for the estimation of surface-breaking discontinuity (i.e., crack) depth in concrete through quantitative characterization of surface-wave transmission across the discontinuity. The effects of three different mixture types (mortar, normal str...

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Detalles Bibliográficos
Autores principales: Ahn, Eunjong, Kim, Hyunjun, Sim, Sung-Han, Shin, Sung Woo, Popovics, John S., Shin, Myoungsu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163269/
https://www.ncbi.nlm.nih.gov/pubmed/30149576
http://dx.doi.org/10.3390/s18092793
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author Ahn, Eunjong
Kim, Hyunjun
Sim, Sung-Han
Shin, Sung Woo
Popovics, John S.
Shin, Myoungsu
author_facet Ahn, Eunjong
Kim, Hyunjun
Sim, Sung-Han
Shin, Sung Woo
Popovics, John S.
Shin, Myoungsu
author_sort Ahn, Eunjong
collection PubMed
description In this paper, we propose an accurate and practical model for the estimation of surface-breaking discontinuity (i.e., crack) depth in concrete through quantitative characterization of surface-wave transmission across the discontinuity. The effects of three different mixture types (mortar, normal strength concrete, and high strength concrete) and four different simulated crack depths on surface-wave transmission were examined through experiments carried out on lab-scale concrete specimens. The crack depth estimation model is based on a surface-wave spectral energy approach that is capable of taking into account a wide range of wave frequencies. The accuracy of the proposed crack depth estimation model is validated by root mean square error analysis of data from repeated spectral energy transmission ratio measurements for each specimen.
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spelling pubmed-61632692018-10-10 Surface-Wave Based Model for Estimation of Discontinuity Depth in Concrete Ahn, Eunjong Kim, Hyunjun Sim, Sung-Han Shin, Sung Woo Popovics, John S. Shin, Myoungsu Sensors (Basel) Article In this paper, we propose an accurate and practical model for the estimation of surface-breaking discontinuity (i.e., crack) depth in concrete through quantitative characterization of surface-wave transmission across the discontinuity. The effects of three different mixture types (mortar, normal strength concrete, and high strength concrete) and four different simulated crack depths on surface-wave transmission were examined through experiments carried out on lab-scale concrete specimens. The crack depth estimation model is based on a surface-wave spectral energy approach that is capable of taking into account a wide range of wave frequencies. The accuracy of the proposed crack depth estimation model is validated by root mean square error analysis of data from repeated spectral energy transmission ratio measurements for each specimen. MDPI 2018-08-24 /pmc/articles/PMC6163269/ /pubmed/30149576 http://dx.doi.org/10.3390/s18092793 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ahn, Eunjong
Kim, Hyunjun
Sim, Sung-Han
Shin, Sung Woo
Popovics, John S.
Shin, Myoungsu
Surface-Wave Based Model for Estimation of Discontinuity Depth in Concrete
title Surface-Wave Based Model for Estimation of Discontinuity Depth in Concrete
title_full Surface-Wave Based Model for Estimation of Discontinuity Depth in Concrete
title_fullStr Surface-Wave Based Model for Estimation of Discontinuity Depth in Concrete
title_full_unstemmed Surface-Wave Based Model for Estimation of Discontinuity Depth in Concrete
title_short Surface-Wave Based Model for Estimation of Discontinuity Depth in Concrete
title_sort surface-wave based model for estimation of discontinuity depth in concrete
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163269/
https://www.ncbi.nlm.nih.gov/pubmed/30149576
http://dx.doi.org/10.3390/s18092793
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