| 引用本文: | 纪伦,李俊,张磊,刘海权,贺文栋.沥青混凝土中粗集料形貌特征分析[J].哈尔滨工业大学学报,2019,51(3):61.DOI:10.11918/j.issn.0367-6234.201709105 |
| JI Lun,LI Jun,ZHANG Lei,LIU Haiquan,HE Wendong.Analysis of the morphology characteristics of coarse aggregate in asphalt concrete[J].Journal of Harbin Institute of Technology,2019,51(3):61.DOI:10.11918/j.issn.0367-6234.201709105 |
|
| 本文已被：浏览 1599次 下载 1256次 |
码上扫一扫！ |
|
|
| 沥青混凝土中粗集料形貌特征分析 |
|
纪伦1,李俊1,2,张磊3,刘海权1,贺文栋1,4
|
|
(1.哈尔滨工业大学 交通科学与工程学院, 哈尔滨150090;2.中建丝路建设投资有限公司, 西安710075; 3.中国路桥工程有限责任公司, 北京100011;4.山西省交通科学研究院, 太原030000)
|
|
| 摘要: |
| 为分析沥青混凝土中粗集料形貌特征,了解其对沥青混合料性能的影响. 利用工业CT对不同级配沥青混凝土断面进行扫描,用图像处理技术和统计学方法从扫描图像中获取粗集料的形貌参数,分析粗集料级配对形貌参数的影响. 结果表明: CT扫描结合图像处理技术可准确获取沥青混凝土中粗集料形貌参数；粗集料颗粒的纵横比AR1和AR2和棱角性的累积分布概率服从三参数威博尔分布；轮廓分形维数、纵/横向趋向参数、纵向偏角均值以及面积参数对粗集料级配的变化表现敏感；而纵/横向趋向参数、纵向偏角均值、轮廓分形维数、棱角性和面积参数,能够显著表征4.75 mm粒径集料的通过率变化. |
| 关键词: 沥青混凝土 粗集料 形貌特征 CT扫描 图像处理 |
| DOI：10.11918/j.issn.0367-6234.201709105 |
| 分类号:U414 |
| 文献标识码:A |
| 基金项目:国家重点研发计划(51078114) |
|
| Analysis of the morphology characteristics of coarse aggregate in asphalt concrete |
|
JI Lun1,LI Jun1,2,ZHANG Lei3,LIU Haiquan1,HE Wendong1,4
|
|
(1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 2. China State Construction Silk Road Investment Group Co., Ltd., Xi’an 710075, China; 3. China Road & Bridge Co., Ltd., Beijing 100011, China; 4. Shanxi Transportation Research Institute, Taiyuan 030000, China)
|
| Abstract: |
| In order to investigate the shape characteristics of coarse aggregates in asphalt concrete and their influences on performances of asphalt mixture, asphalt concretes were scanned by industrial CT, and the morphology parameters of the coarse aggregates were obtained from the scanned images by image processing technique and statistical method. The influences of the coarse aggregate level grading on morphology parameters were studied and analyzed. Results showed that CT scanning combined with image processing technique could accurately obtain the coarse aggregate morphology parameters of asphalt concrete. The cumulative distribution probability of the aspect ratio and angularity of coarse aggregate particles obeyed the three-parameter Weibull distribution. Contour fractal dimension, longitudinal/lateral trend parameters, longitudinal declination mean, and area parameters were sensitive to changes in coarse aggregate gradation. The longitudinal/lateral trend parameters, longitudinal declination mean, contour fractal dimension, angularity, and area parameters could significantly characterize changes of the passing rate of the 4.75 mm particle size aggregate. |
| Key words: asphalt concrete coarse aggregate morphology parameter CT technology image processing technique |
