| Issue |
MATEC Web Conf.
Volume 275, 2019
1st International Conference on Advances in Civil Engineering and Materials (ACEM1) and 1st World Symposium on Sustainable Bio-composite Materials and Structures (SBMS1) (ACEM2018 and SBMS1)
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|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 4 | |
| Section | New Materials and Structural Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201927502007 | |
| Published online | 13 March 2019 | |
A study on image-processing based identification of aspect ratio of coarse aggregate
1 Xinjiang urban construction and test Co., Ltd., 830000 Urumqi, China
2 Department of Bridge Engineering, Tongji University, 200092, Shanghai, China
* Corresponding author: z.pan@tongji.edu.cn
The mesoscopic simulation of behaviours of cementitious materials under different conditions has become a hot topic in academic research, as it provides more details to the mechanism study and structural design. To conduct a mesoscopic simulation, the meso-scale model of cementitious materials must be built. To ensure the precision of the aggregate shape in the simulated meso-scale model, key shape parameters of real aggregates should be identified. In this paper, an image-processing based method is proposed to detect the aspect ratio of a polygonal aggregate. The procedure and used algorithms are demonstrated in detail. As an application, totally about 1000 coarse aggregates from the Xinjiang, China are selected to identify the aspect ratio. It is found that the aspect ratio of coarse aggregates is a random variable following the Generalized Extreme Value (GEV) distribution. The published data by using the X-ray technique is also adopted as a comparison, and the results are almost the same as each other, which indicates that the aggregate source does not have an obvious effect on the probabilistic characteristics of the aspect ratio.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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