华东交通大学学报2015，Vol.32Issue(5)：10-15,6.
基于数字图像处理的沥青混合料粗集料筛分方法
Coarse Aggregate Sieving Method of Asphalt Mixture Based on Digital Image Processing
摘要
Abstract
Due to the complexity of the coarse aggregate shape, the use of mechanical sieving often results in such problems as the variability of coarse aggregate particle gradation composition, difficulty in controlling mixture volume parameters. This study puts forward the coarse aggregate sieving method based on digital image processing to obtain area data of the outline. After random sampling of the coarse aggregate sieved mechanically, it obtains distribution law of aggregate area with one sample Kolmogorov-Smirnov test. By illustrating the distribution range at a certain probability level, it develops the coarse aggregate sieving method based on two-dimensional area. Experiments show that coarse aggregate of larger variability is removed effectively and discrete is reduced after the digital image sieving. The proposed method can improve the stability and accuracy of grading design.关键词
道路工程/沥青混合料/数字图像处理/集料面积/级配设计Key words
road engineering/asphalt mixture/digital image processing/aggregate area/gradation design分类
交通工程引用本文复制引用
叶奋,林增龙,宋卿卿..基于数字图像处理的沥青混合料粗集料筛分方法[J].华东交通大学学报,2015,32(5):10-15,6.基金项目
国家自然科学基金项目(51168044) （51168044）
