基于CT图像的粗集料颗粒接触特性细观尺度研究  被引量:23

Research on Contact Characteristics of Coarse Aggregates Particles within Meso-scale by CT Images

在线阅读下载全文

作  者:段跃华[1,2] 张肖宁[1] 李红杰[1] 苑苗苗[1] 张顺先[1] 王辉[1] 

机构地区:[1]华南理工大学土木与交通学院,广东广州510640 [2]广东华路交通科技有限公司,广东广州510420

出  处:《建筑材料学报》2011年第6期808-813,共6页Journal of Building Materials

基  金:"十二五"国家科技支撑计划项目(2011BAG07B00);国家自然科学基金重点项目(51038004);西部交通建设科技项目(2009318000078)

摘  要:采用工业CT获取沥青混合料断面扫描图像,利用数字图像处理方法将粗集料从图像中分离,并解决了颗粒粘连问题,使粗集料颗粒成为单独个体.确立了粗集料颗粒之间接触的判定准则,并设计5像素×5像素大小的窗格沿颗粒边缘进行接触搜索.对640张断面图像遍历处理后获得的数据进行定性分析,尝试建立了接触度指标C.采用4种概率密度分布函数对C数据进行拟合,并通过Kolmogorov-Smirnov及Chi-square 2种方法复合检验,最终选定了对数正态分布来描述沥青混合料内部粗集料颗粒接触特性.The industrial CT was used for getting the cross-section images of asphalt mixture.Based on digital image processing methods,the coarse aggregates were extracted from the images,and the adhesion problem of coarse aggregates particles was resolved successfully.The judgment criterion of contact between particles was established,and a 5 pixel×5 pixel size window was designed for contact searching along the particle boundary.After total 640 images were searched by these procedures,the data were analyzed qualitatively,and a contact degree indicator(C) was tried to establish.Four different probability density distribution functions were used to fit C data,and the validity of fit was tested by KolmogorovSmirnov and Chi-square methods.Finally,the lognormal distribution was determined for describing the contact characteristics of coarse aggregates particles.

关 键 词:沥青混合料 接触度 粘连 概率密度分布函数 假设检验 

分 类 号:TU528.42[建筑科学—建筑技术科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象