基于计算机扫描技术的沥青混合料集料质量均匀性评价

发布时间：2018-10-20 10:37

【摘要】：运用CT(Computer Technology)获得沥青混合料的内部微观结构已成为现阶段研究热点之一,但是现阶段结合沥青混合料的CT扫描断面图具有的特点进行数字图像系统处理的研究相对较少,而且将其用于区分内部材质的技术目前比较粗糙,无法有效将数字图像处理和混合料无损检测技术结合起来。基于混合高斯模型(GMM)EM算法的基础上,对沥青混合料的集料特性进行分割,进而对细观结构的质量均匀性分析进行判断,最后通过试验深层次探索内部体积组成结构情况。研究结果表明本文采用的混合高斯模型能较好的对CT扫描断层图片进行处理,通过扇形扫描方法可对沥青混合料集料的分布情况进行判断,进而通过对集料颗粒的面积比进行统计分析,进而评价沥青混合料的集料分布均匀性,本文研究结果可为沥青混合料微观领域研究提供借鉴和参考意义。
[Abstract]:Using CT (Computer Technology) to obtain the internal microstructure of asphalt mixture has become one of the research hotspots at the present stage, but the research of digital image system processing based on the characteristics of CT scanning section of asphalt mixture is relatively few at the present stage. Moreover, the technology used to distinguish internal materials is rather rough at present, which can not effectively combine digital image processing and mixture nondestructive testing technology. Based on the (GMM) EM algorithm of mixed Gao Si model, the aggregate characteristics of asphalt mixture are segmented, and the quality uniformity of mesoscopic structure is judged. Finally, the internal volume composition structure is explored deeply through experiments. The results show that the mixed Gao Si model used in this paper can deal with the CT scanning fault images well, and the distribution of asphalt mixture aggregate can be judged by sector scanning method. Through the statistical analysis of the area ratio of aggregate particles and the evaluation of the uniformity of aggregate distribution of asphalt mixture, the results of this paper can provide reference and reference significance for the research of asphalt mixture micro field.
【作者单位】：黄河水利职业技术学院;
【分类号】：U414.1

【参考文献】