Improved Sectional Image Analysis Technique For Evaluating Fiber Orientations In Fiber-Reinforced Cement-Based Materials
Keywords
Fiber; Fiber-reinforced concrete; Image analysis; Orientation
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.
Publication Date
1-1-2016
Publication Title
Materials
Volume
9
Issue
1
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.3390/ma9010042
Copyright Status
Unknown
Socpus ID
84956670918 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84956670918
STARS Citation
Lee, Bang Yeon; Kang, Su Tae; Yun, Hae Bum; and Kim, Yun Yong, "Improved Sectional Image Analysis Technique For Evaluating Fiber Orientations In Fiber-Reinforced Cement-Based Materials" (2016). Scopus Export 2015-2019. 2379.
https://stars.library.ucf.edu/scopus2015/2379