@Article{icces.2008.007.167,
AUTHOR = {Y. Y. Kim, B. Y. Lee, J. K. Kim},
TITLE = {Evaluation of fiber dispersion of PVA-ECC},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {7},
YEAR = {2008},
NUMBER = {4},
PAGES = {167--172},
URL = {http://www.techscience.com/icces/v7n4/32329},
ISSN = {1933-2815},
ABSTRACT = {The fiber dispersion performance in fiber-reinforced cementitious composites is a crucial factor with respect to achieving desired mechanical performance. However, evaluation of the fiber dispersion performance in the composite PVA-ECC (Polyvinyl alcohol-Engineered Cementitious Composite) is extremely challenging because of the low contrast of PVA fibers with the cement-based matrix. In the present work, an enhanced image processing technique including more detailed classification of types of fibers and adaptation of a morphological reconstruction, the fiber detection performance is enhanced. Test results using artificial and real fiber images showed that a distribution coefficient <i>α<sub>f</sub></i>, referred to as the fiber dispersion coefficient was calculated reasonably and the fiber detection performance was enhanced.},
DOI = {10.3970/icces.2008.007.167}
}