%0 Journal Article
%T 沥青路面离析的数字图像评价方法
%A 张争奇
%A 徐耀辉
%A 胡红松
%A 石伟
%A 张苛
%J 湖南大学学报(自然科学版)
%D 2016
%X 为快速有效评价沥青路面的离析程度，文章采用数字图像技术研究沥青路面的非均匀性.文中分析了常用的沥青路面离析的图像处理评价方法的不足，提出了基于分析路面纹理中下凹区域的宏观构造宽度评价沥青路面离析的新方法.此法通过对宏观构造中的下凹区域照相并获得二值图像，并将二值图像中对应的下凹区域的平均宽度定义为路表宏观构造宽度K，以构造宽度K和构造深度TD建立模型，来评价沥青混合料的集料离析程度.研究结果表明：构造宽度K值与传统的手工铺砂法测出的构造深度TD具有良好的相关性，能较好地表征沥青路面的集料离析程度.</br>In order to evaluate the segregation level of bituminous pavement quickly and effectively, the digital image processing technique was adopted in studying the heterogeneity of bituminous pavement. The drawbacks of common evaluation methods on image processing of bituminous pavement segregation were firstly discussed, and a new method of evaluating the bituminous pavement segregation was proposed, which is based on the analysis of the macroscopic construction width of the concave area in pavement texture. This method is to get the binary image by taking photos of the concave areas in macroscopic construction, and defines the average width of the related concave area in the binary image as the macroscopic construction width K of bituminous pavement, and then builds a model based on the construction width K and depth TD to evaluate the aggregate segregation level of bituminous mixture. It is found that the construction width K is correlated with the conventional construction depth measured by the traditional manual sand patch method, which better characterizes the aggregate segregation level of bituminous pavement.
%K 数字图像 沥青路面 宏观构造宽度K值 构造深度 离析 道路工程&lt
%K /br&gt
%K digital image bituminous pavement macroscopic construction width K construction depth segregation road engineering
%U http://hdxbzkb.cnjournals.net/ch/reader/view_abstract.aspx?file_no=20160917&flag=1