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Materials 2016, 9(1), 42; doi:10.3390/ma9010042

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

1
School of Architecture, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Korea
2
Department of Civil Engineering, Daegu University, 201 Daegudae-ro, Jillyang, Gyeongsan, Gyeongbuk 38453, Korea
3
Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
4
Department of Civil Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Hong Wong
Received: 26 November 2015 / Revised: 24 December 2015 / Accepted: 7 January 2016 / Published: 12 January 2016
(This article belongs to the Special Issue Image Analysis and Processing for Cement-based Materials)
View Full-Text   |   Download PDF [5524 KB, uploaded 12 January 2016]   |  

Abstract

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. View Full-Text
Keywords: fiber; fiber-reinforced concrete; image analysis; orientation fiber; fiber-reinforced concrete; image analysis; orientation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lee, B.Y.; Kang, S.-T.; Yun, H.-B.; Kim, Y.Y. Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials. Materials 2016, 9, 42.

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