| 摘要: |
| 为了实时、连续、定量评价沥青混凝土均匀性,以安徽省济祁高速砀山段为试验段,运用数字图像处理技术、统计学方法和单幅图像恢复物体表面形状原理对沥青混凝土摊铺状态和压实状态分别建立了基于四边静矩变异性和构造深度变异性的沥青混凝土均匀性数字图像评价方法及标准. 以静矩变异系数和构造深度变异系数作为指标,评价沥青混凝土数字图像均匀性. 为获取沥青混凝土表面准确的图像信息,规范了数字图像采集和预处理过程,并推荐了图像采集的光照强度和拍摄高度. 研究结果表明:沥青混凝土均匀性数字图像评价方法切实可行、便捷高效,结果定量客观,较好地反映了沥青混凝土施工质量的均匀性. 沥青混凝土摊铺均匀时,静矩变异系数区间范围为（0,1.5%]；AC-13和AC-25沥青混凝土压实均匀时,数字构造深度变异系数区间范围分别为（0,4.0%]和（0,8.0%]. 以16等分图像面积区域作为沥青混凝土压实图像划分最优方法,拟合得到不同等分方式数字构造深度变异系数之间相关性方程,且相关性显著. |
| 关键词: 沥青混凝土 数字图像处理技术 均匀性 评价方法 标准 |
| DOI：10.11918/j.issn.0367-6234.201807157 |
| 分类号:U416.217 |
| 文献标识码:A |
| 基金项目:重庆市教委科学技术研究项目(KJQN201800704)； 中国博士后科学基金(43XB3787XB)； 河北省交通运输厅科技项目(QC2018-3)； 河北省高等学校科学技术研究重点项目(ZD2018201)； 河北省科技厅重点研发计划(172176442) |
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| Digital image evaluation methods for the homogeneity of asphalt concrete |
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ZHAO Yi1,LIANG Naixing2
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(1. School of Materials Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China)
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| Abstract: |
| Aiming at the real-time, continuous, and quantitative evaluation of the homogeneity of asphalt concrete, taking the Jinan-Qimen Highway of Dangshan section in Anhui as an example, this study adopted the digital image processing technology, statistical method, and the principle of shape from shading to establish the homogeneity evaluation method and standard of asphalt concrete based on the quadrangular static moment variability and the structural depth variability in paving state and compaction state. Moment variation coefficient and structure depth variation coefficient were proposed as evaluation indexes to evaluate the homogeneity of asphalt concrete. To obtain accurate image information of asphalt concrete surface, the processes of digital image acquisition and pre-processing were standardized, and the illumination intensity and shooting height of image acquisition were recommended. The study showed that the proposed digital image evaluation method for the homogeneity of asphalt concrete was feasible and efficient, and the results were quantitative and objective, which could reflect homogeneity in the construction quality of asphalt concrete well. To achieve homogeneity of asphalt concrete paving, the moment variation coefficient should be controlled within (0,1.5%]. When AC-13 and AC-25 asphalt concretes were homogeneous in compaction state, the structure depth variation coefficient should be controlled within (0,4.0%] and (0,8.0%], respectively. Considering the method of subdividing asphalt concrete compaction image into 16 equal areas as the optimum, the correlation equation of the digital image structure depth variation coefficient in different equal subdivision ways was established by coefficient simulation, and the correlations were remarkable. |
| Key words: asphalt concrete digital image processing technology homogeneity evaluation method standard |
