沥青路面表面纹理三维评价方法及其计算边界条件分析  

Three-dimensional Evaluation Method for Asphalt Pavement Surface Texture and Analysis of Its Calculating Boundary Conditions

作　　者：董仕豪 韩森[2] 宿金菲 陈德[3] 苏会锋 DONG Shihao;HAN Sen;SU Jinfei;CHEN De;SU Huifeng(College of Transportation,Shandong University of Science and Technology,Qingdao 266590,Shandong China;School of Highway,Chang’an University,Xi’an 710064,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China)

机构地区：[1]山东科技大学交通学院,山东青岛266590 [2]长安大学公路学院,西安710064 [3]西南交通大学土木工程学院,成都610031

出　　处：《材料导报》2024年第18期84-92,共9页Materials Reports

基　　金：国家自然科学基金(52278431);山东省自然科学基金项目(ZR202211280381)。

摘　　要：为了综合评价沥青路面表面纹理的三维特征,推广表面纹理三维评价方法的应用,提出了一套适用性强、计算边界条件明晰的沥青路面表面纹理三维评价指标。首先,利用激光纹理扫描仪采集了不同沥青路面表面纹理的三维点云数据,并分别基于灰度共生矩阵理论和表面纹理偏离基准面的均匀程度,构建了表面纹理水平三维评价指标f_(8mac)、f_(9mac)、f_(8mic)、f_(9mic)和表面纹理分布均匀性三维评价指标σ;然后,以铺砂法、步行式摩擦系数仪和组合表面纹理分布均匀性的测试结果为基准,通过对比三维评价指标和现有二维评价指标与基准指标的相关性,验证了三维评价指标的有效性和优越性;最后,基于表面纹理三维评价指标的计算过程,明确了表面纹理三维评价指标的计算边界条件。研究结果表明:f_(8mac)和f_(8mic)与基准指标的相关系数R分别为0.934 8和0.803 0,优选f_(8mac)和f_(8mic)为表面纹理水平三维评价指标;现有的二维评价指标难以准确表征表面纹理的三维分布状态,指标σ可以有效地评价沥青路面表面纹理的三维分布均匀性;只有在相同的计算边界条件下,表面纹理三维评价指标才具有可比性。研究成果有望为沥青路面表面纹理三维评价方法的推广应用提供理论借鉴。To comprehensively evaluate the three-dimensional(3D)characteristics of asphalt pavement surface texture and promote the application of 3D evaluation methods for surface texture,a set of 3D evaluationindices for asphalt pavement surface texture with strong applicability and well-defined calculating boundary conditions were proposed.Firstly,3D point cloud data of different asphalt pavement surface textures were collected using a laser texture scanner.3D surface texture level evaluation indices,namely f_(8mac),f_9mac),f_(8mic),f_(9mic),and 3D surface texture distribution uniformity evaluation indexσ,were constructed based on the gray-level co-occurrence matrix theory and the uniformity of surface texture deviation from the reference plane.Subsequently,using benchmark results obtained from sand patch method,walking friction tester and the distribution uniformity of combined surface texture,the effectiveness and superiority of the proposed 3D evaluation indices were validated by comparing the correlation of them and existing two-dimensional(2D)evaluation indices with benchmark indices.Finally,based on the calculation process of the surface texture 3D evaluation indicators,the calculating boundary conditions of the surface texture 3D evaluation indices were clearly defined.The results showed that the correlation coefficients R of f_(8mac) and f_(8mic) with benchmark indices were 0.9348 and 0.8030,respectively.Therefore,f_(8mac) and f_(8mic) were preferred as 3D evaluation indices for asphalt pavement surface texture level.Existing 2D evaluation indices were inadequate for accurately characterizing the 3D distribution of surface texture,and indexσcould effectively evaluate the 3D distribution uniformity of asphalt pavement surface texture.Only under the same calculating boundary conditions could the surface texture 3D evaluation indices be comparable.The research results were expected to provide theoretical reference for the promotion and application of 3D evaluation methods for asphalt pavement surface texture.

关 键 词：道路工程 三维评价指标 点云数据处理 表面纹理 计算边界条件 沥青路面 

分 类 号：U418.1[交通运输工程—道路与铁道工程]