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基于熵的路面纹理磨耗衰减特性表征方法 被引量:4

Method of characterizing pavement texture wear attenuation based on entropy
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摘要 为更好地评估路面纹理、便于路面纹理与路面抗滑性能建立联系,基于图像纹理分析方法,引入一种新的纹理指标——熵,通过描述路面纹理构造形貌分布的随机性、离散度和复杂度来评估路面纹理。以AC-13、AC-16和SMA-13这3种沥青路面采集的三维纹理数据和摆值(British pendulum numbers,BPN)抗滑值来验证所提出的新指标。从熵值计算结果来看,3种沥青路面纹理的熵值随着累计交通量的增加而呈现出与BPN抗滑值相似的衰减趋势。熵值与累计交通量的线性拟合结果表明,3种沥青路面纹理熵值的衰减速度受到级配和骨料粒径的影响。通过相关性分析发现,4种指标(熵、平均剖面深度(mean profile depth,MPD)、均方根(root mean square,RMS)和平均绝对离差(Ra))与BPN抗滑值的相关性由高到低依次为熵>MPD>Ra>RMS。与其他3种传统纹理指标相比,所提新指标(熵)与BPN抗滑值有更高的相关性,能够更好地表征路面纹理磨耗衰减特性和评估路面纹理磨耗状态。 In order to better assess the wear state of pavement texture and monitor the skid resistance of pavement,this paper proposes a new pavement texture indicator—entropy,based on the analysis method of image texture features from the grey images co-occurrence matrix.By describing the randomness,dispersion and complexity of the morphological distribution of the pavement texture configuration,entropy can be used to assess the wear state of the pavement texture.The proposed new index is verified by 3D texture data collected from AC-13,AC-16 and SMA-13 asphalt pavements and British pendulum numbers(BPN)skid resistance value.Known from the entropy value calculation results,the entropy of the three asphalt pavement textures shows a similar attenuation trend to the BPN skid resistance value with the increase of the accumulated traffic volume.The linear fitting results of entropy value and accumulated traffic volume show that the attenuation speed of texture entropy of three asphalt pavements is affected by gradation and aggregate size.The correlation analysis reveals that the four indicators(entropy,mean profile depth(MPD),root mean square(RMS)and Ra)are correlated with the BPN anti-slip value from highest to lowest:entropy>MPD>Ra>RMS.Compared with the other three traditional texture indicators,the new indicator of entropy proposed in this paper has a higher correlation with the BPN skid resistance value,indicating a better potential in characterization of the pavement texture wear decay characteristics and assessment of the pavement texture wear status.
作者 卢新利 LU Xinli(China Railway 14th Bureau Group Construction Engineering Corporation Limited,Jining,Shandong 272000,China)
出处 《中国科技论文》 CAS 北大核心 2023年第8期897-904,共8页 China Sciencepaper
关键词 路基路面 表面纹理 路面抛光 抗滑性能 纹理表征 subgrade and pavement entropy surface texture pavement polishing skid resistance texture characterization
作者简介 第一作者: 卢新利(1976-),男,高级工程师,主要研究方向为道路表面养护与工程造价,1042262646@qq.com。
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