Particle shape was one of the most important factors which affects the gravel aggregate’s properties. It was also one of the important factors that directly affects the performance of asphalt pavements. In this paper, the gravel aggregate of quartzite was studied by using the industrial CT instrument. MATLAB was used to capture the aggregate slice properties including reverse color, median filtering, noise reduction, binarization and so on. The 3D aggregate model was reconstructed by using the software of MIMICS. The three-dimensional model of the aggregate was further optimized. The best fitting cuboid, cylinder, cone and sphere information of the aggregate were obtained by using the characteristics analysis function.
This document was originally published in International Journal of Pavement Research and Technology by Elsevier. This work is provided under a Creative Commons Attribution Non-Commercial No Derivatives 4.0 license. Details regarding the use of this work can be found at: http://creativecommons.org/licenses/by-nc-nd/4.0/. doi: 10.1016/j.ijprt.2017.08.002
Wu, Jiangfeng; Wang, Linbing; Hou, Yue; Xiong, Haocheng; Lu, Yang; and Zhang, Lei. (2018). "A Digital Image Analysis of Gravel Aggregate Using CT Scanning Technique". International Journal of Pavement Research and Technology, 11(2), 160-167. http://dx.doi.org/10.1016/j.ijprt.2017.08.002