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Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique †
Grouting ducts (containing steel strands) are widely used to increase the structural strengths of infrastructures. The determination of the steel strand’s integrity inside of ducts and the grouting quality are important for a strength evaluation of the structure. In this study, a capacitive sensing...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603601/ https://www.ncbi.nlm.nih.gov/pubmed/31195659 http://dx.doi.org/10.3390/s19112564 |
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author | Li, Nan Cao, Mingchen Du, Hangben He, Cunfu Wu, Bin |
author_facet | Li, Nan Cao, Mingchen Du, Hangben He, Cunfu Wu, Bin |
author_sort | Li, Nan |
collection | PubMed |
description | Grouting ducts (containing steel strands) are widely used to increase the structural strengths of infrastructures. The determination of the steel strand’s integrity inside of ducts and the grouting quality are important for a strength evaluation of the structure. In this study, a capacitive sensing technique was applied to identify the cross-sectional distribution of the steel strands. The distribution was expressed in polar coordinates in an external post-tensioned pre-stressed duct model. An improved capacitive sensor structure was designed, which consisted of four electrodes, and different electrode-pairs were used to determine various locations’ information of the steel strands. Two rounds of measurements were conducted using the designed sensor to detect the angle (θ) and center distance (r) of the steel strand in the duct. The simulated and experimental results are presented and analyzed. In general, it is difficult to locate the angle of a steel strand directly from first-round capacitance measurements by analyzing the experimental results. Our method based on Q-factor analysis was presented for the position detection of a steel bar in an external post-tensioned pre-stressed duct. The center distance of the steel bar could be identified by second-round capacitance measurements. The processed results verified the effectiveness of the proposed capacitive sensor structure. Thus, the capacitive sensing technique exhibited potential for steel strand cross-section distribution detection in external post-tensioned pre-stressed ducts. |
format | Online Article Text |
id | pubmed-6603601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66036012019-07-17 Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique † Li, Nan Cao, Mingchen Du, Hangben He, Cunfu Wu, Bin Sensors (Basel) Article Grouting ducts (containing steel strands) are widely used to increase the structural strengths of infrastructures. The determination of the steel strand’s integrity inside of ducts and the grouting quality are important for a strength evaluation of the structure. In this study, a capacitive sensing technique was applied to identify the cross-sectional distribution of the steel strands. The distribution was expressed in polar coordinates in an external post-tensioned pre-stressed duct model. An improved capacitive sensor structure was designed, which consisted of four electrodes, and different electrode-pairs were used to determine various locations’ information of the steel strands. Two rounds of measurements were conducted using the designed sensor to detect the angle (θ) and center distance (r) of the steel strand in the duct. The simulated and experimental results are presented and analyzed. In general, it is difficult to locate the angle of a steel strand directly from first-round capacitance measurements by analyzing the experimental results. Our method based on Q-factor analysis was presented for the position detection of a steel bar in an external post-tensioned pre-stressed duct. The center distance of the steel bar could be identified by second-round capacitance measurements. The processed results verified the effectiveness of the proposed capacitive sensor structure. Thus, the capacitive sensing technique exhibited potential for steel strand cross-section distribution detection in external post-tensioned pre-stressed ducts. MDPI 2019-06-05 /pmc/articles/PMC6603601/ /pubmed/31195659 http://dx.doi.org/10.3390/s19112564 Text en © 2019 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 Li, Nan Cao, Mingchen Du, Hangben He, Cunfu Wu, Bin Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique † |
title | Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique † |
title_full | Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique † |
title_fullStr | Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique † |
title_full_unstemmed | Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique † |
title_short | Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique † |
title_sort | detection of single steel strand distribution in grouting duct based on capacitive sensing technique † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603601/ https://www.ncbi.nlm.nih.gov/pubmed/31195659 http://dx.doi.org/10.3390/s19112564 |
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