Three-dimensional Evaluation Method for Asphalt Pavement Surface Texture and Analysis of Its Calculating Boundary Conditions
DONG Shihao1,*, HAN Sen2,*, SU Jinfei1, CHEN De3, SU Huifeng1
1 College of Transportation, Shandong University of Science and Technology, Qingdao 266590, Shandong China 2 School of Highway, Chang’an University, Xi’an 710064, China 3 School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Abstract: 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 f8mac, f9mac, f8mic, f9mic, and 3D surface texture distribution uniformity evaluation index σ, 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 f8mac and f8mic with benchmark indices were 0.934 8 and 0.803 0, respectively. Therefore, f8mac and f8mic 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 index σ could 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.
通讯作者:
*董仕豪,通信作者,山东科技大学交通学院副教授。2017年山东理工大学交通工程专业本科毕业,2022年长安大学道路与铁道工程专业博士毕业后到山东科技大学工作至今。目前主要从事道路表面工程、固废资源化利用、人工智能在道路工程的应用等方面的研究工作。发表论文20余篇,包括Computer-Aided Civil and Infrastructure Engineering、Construction and Building Materials、Applied Sciences等。 韩森,通信作者,长安大学公路学院二级教授、博士研究生导师,长安大学新型路面研究所所长,享受国务院政府特殊津贴。1982年西安公路学院本科毕业;1986年获得长安大学工学硕士学位;2006年获得长安大学工学博士学位。1982年起在长安大学任教至今。目前主要的研究方向包括路面工程、道路建筑材料、路面表面功能等。已公开发表论文100余篇,包括Computer-Aided Civil and Infrastructure Engineering、Construction and Building Materials、《中国公路学报》《材料导报》等。dongshihao@sdust.edu.cn;hyram_hs@163.com
引用本文:
董仕豪, 韩森, 宿金菲, 陈德, 苏会锋. 沥青路面表面纹理三维评价方法及其计算边界条件分析[J]. 材料导报, 2024, 38(18): 23050210-9.
DONG Shihao, HAN Sen, SU Jinfei, CHEN De, SU Huifeng. Three-dimensional Evaluation Method for Asphalt Pavement Surface Texture and Analysis of Its Calculating Boundary Conditions. Materials Reports, 2024, 38(18): 23050210-9.
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2024, Vol. 38 
