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Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials

The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution in the sectional image of fiber-reinforced co...

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Detalles Bibliográficos
Autores principales: Lee, Bang Yeon, Kang, Su-Tae, Yun, Hae-Bum, Kim, Yun Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456570/
https://www.ncbi.nlm.nih.gov/pubmed/28787839
http://dx.doi.org/10.3390/ma9010042
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author Lee, Bang Yeon
Kang, Su-Tae
Yun, Hae-Bum
Kim, Yun Yong
author_facet Lee, Bang Yeon
Kang, Su-Tae
Yun, Hae-Bum
Kim, Yun Yong
author_sort Lee, Bang Yeon
collection PubMed
description The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution in the sectional image of fiber-reinforced concrete. A series of tests on the accuracy of fiber detection and the estimation performance of fiber orientation was performed on artificial fiber images to assess the validity of the proposed technique. The validation test results showed that the proposed technique estimates the distribution of fiber orientation more accurately than the direct measurement of fiber orientation by image analysis.
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spelling pubmed-54565702017-07-28 Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials Lee, Bang Yeon Kang, Su-Tae Yun, Hae-Bum Kim, Yun Yong Materials (Basel) Article The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution in the sectional image of fiber-reinforced concrete. A series of tests on the accuracy of fiber detection and the estimation performance of fiber orientation was performed on artificial fiber images to assess the validity of the proposed technique. The validation test results showed that the proposed technique estimates the distribution of fiber orientation more accurately than the direct measurement of fiber orientation by image analysis. MDPI 2016-01-12 /pmc/articles/PMC5456570/ /pubmed/28787839 http://dx.doi.org/10.3390/ma9010042 Text en © 2016 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Bang Yeon
Kang, Su-Tae
Yun, Hae-Bum
Kim, Yun Yong
Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials
title Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials
title_full Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials
title_fullStr Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials
title_full_unstemmed Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials
title_short Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials
title_sort improved sectional image analysis technique for evaluating fiber orientations in fiber-reinforced cement-based materials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456570/
https://www.ncbi.nlm.nih.gov/pubmed/28787839
http://dx.doi.org/10.3390/ma9010042
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