沥青路面粗集料棱角性衰变规律及与抗滑性能的关联

    Decay Law of Angularity Characteristics of Coarse Aggregates in Asphalt Pavement and Its Correlation With Skid Resistance

    • 摘要: 为分析沥青路面粗集料棱角性的衰变规律及其与抗滑性能的关联, 分别通过二维数字图像处理和三维激光扫描技术对现场芯样回收的表面层粗集料和室内洛杉矶磨耗的粗集料进行检测, 获取其二维图像和三维数字模型后对集料棱角性进行量化分析, 使用动态摩擦因数仪对路面抗滑性能进行测试。采用二维棱角性评价指标凸度(convexity, CV)、轴度(aspect ratio, AS)、圆度(roundness, RO)和三维棱角性评价指标针度(needleness, ND)、片度(flatness, CS)、球度(sphericity, DS)、形状因子(shape factor, SF)评价棱角性, 分析其变化规律并优选棱角性评价指标, 然后结合微观纹理指标构建路面抗滑性能预测模型。研究表明, 由于集料的放置形式对二维成像影响显著, 故二维棱角性评价指标不适用于评价其衰变规律, 而三维棱角性评价方法能较好表征集料形态变化特征, 且选用三维棱角性评价指标DS和SF构建的路面抗滑性能预测模型精度高达80%。

       

      Abstract: To analyze the decay law of angularity characteristics of coarse aggregates in asphalt pavements and its correlation with skid performance, both coarse aggregates used in the surface layer obtained from on-site core samples and coarse aggregates abraded by the Los Angeles Abrasion Machine in the laboratory were investigated by 2D digital image processing and 3D laser scanning technology, respectively. Quantitative analysis of aggregate angularity was carried out after obtaining 2D images and 3D digital models. The skid resistance of pavements was tested by using a dynamic friction tester. The 2D angularity evaluation indexes of convexity (CV), aspect ratio (AS) and roundness (RO), and the 3D angularity evaluation indexes of needleness (ND), flatness (CS), sphericity (DS) and shape factor (SF) were used to evaluate the angularity and analyze their change rules. Finally, a pavement skid resistance prediction model was established by selecting the optimal angularity evaluation indexes and combining with the micro-texture indexes. Result shows that the 2D angularity evaluation indexes are not suitable for evaluating the decay law of the angularity due to the significant influence of the placement on the 2D imaging, while the 3D angularity evaluating method can better characterize the change of aggregate morphology, and the accuracy of the pavement skid resistance prediction model established by using 3D angularity evaluation indexes including DS and SF, is as high as 80%.

       

    /

    返回文章
    返回