路用粗集料形态可视化识别及其评价方法综述

A Review of Visual Identification and Evaluation of Coarse Aggregate of Road Pavement

针对当前路用粗集料可视化识别及其评价方法的局限性,首先总结介绍了目前3类主要的路用粗集料可视化识别技术手段:CCD数字图像处理技术、X射线断层扫描技术以及激光扫描技术的技术特点、研究现状和存在的问题。在此基础上,从集料的形状、棱角和纹理3个方面对国内外现有的集料形态评价方法及评价指标进行了总结与归纳。针对目前集料形态可视化识别方法及评价方法存在的问题,提出了需要进一步研究的技术问题,即一方面,要继续从三维可视化角度寻求能更为全面、准确识别集料颗粒的视觉化识别方法;另一方面,要继续完善和进一步验证粗集料颗粒形态评价指标的客观性和有效性,建立一套具有广泛认可度的粗集料颗粒形态评价体系。

In view of the limitations of current methods to visual identify and evaluation the coarse aggregate for road pavement,the research features,status and problems of 3 major means of visual identification technology： CCD digital image processing technology,X- ray tomoscanning technology and laser scanning technology are summarized at first. Then,the existing domestic and foreign evaluation methods and indexes of aggregate in respect of shape,angularity and texture are introduced. For the problems in the visual identification and evaluation methods of current coarse aggregate,the technical issues for further research are proposed,that is, on the one hand, to continuously seek a more comprehensive and accurate visual identification method based on 3D visual technology; on the other hand,to continue improving and to further validating the objectivity and effectiveness of the valuation indexes,and then to establish a set of widely recognized coarse aggregate particle shape evaluation system.