Quantitative Characterization of 3D Road Aggregate Morphology
李洛克1, 刘海明1, 张镇国2, 曹鹏3, 严圆4
1. Faculty of Architecture and Civil Engineering, Kunming University of Science and Technology, Kunming Yunnan 650500, China;
2. The 41st Institute of the Fourth Academy of CASC, National Key Laboratory of Combustion, low and Thermo-structure, Xi'an Shaanxi 710072, China;
3. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China;
4. Highway Science and Technology Research Institute of Yunnan Province, Kunming Yunnan 650000, China
Quantitative Characterization of 3D Road Aggregate Morphology
LI Luo-ke1, LIU Hai-ming1, ZHANG Zhen-guo2, CAO Peng3, YAN Yuan4
1. Faculty of Architecture and Civil Engineering, Kunming University of Science and Technology, Kunming Yunnan 650500, China;
2. The 41st Institute of the Fourth Academy of CASC, National Key Laboratory of Combustion, low and Thermo-structure, Xi'an Shaanxi 710072, China;
3. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China;
4. Highway Science and Technology Research Institute of Yunnan Province, Kunming Yunnan 650000, China
摘要This study quantitatively analyzed the shape, angularity, and roughness of road aggregate particles. A contactless three-dimensional (3D) scanning technique was used to capture the 3D coordinate data of point clouds on an aggregate surface. The data were then used to reconstruct 3D elevation digital models of aggregate particles. Six independent feature parameters were subsequently used as an evaluation index to quantitatively describe the multilevel features of the 3D morphology of road aggregates. The methods for calculating and analyzing the feature parameters on the basis of the cloud data of the aggregate scanning point were also presented. The 3D morphologies of four types of road aggregates were studied. On the basis of the results, an aggregate polishing testing system was developed, and the practicability of the 3D roughness coefficient index was demonstrated accordingly. Results show that (1) the sphericity index can describe the compactness of aggregate shape, (2) the shape factor index can describe the needle-flake properties of aggregates, (3) the ellipsoid index can evaluate the sharp edges and corners of aggregates, (4) the maximum surface curvature can be used to identify the local angular features of particles, (5) the two-dimensional roughness index can be used to analyze the anisotropic characteristics of the surface profiles of aggregates, and (6) the 3D roughness index is suitable for evaluating the roughness of aggregate surface texture at the mesoscopic level. Under the experimental conditions of this study, the shape and angular features of aggregate particles matched the requirements of road performance. This result benefitted the formation of an aggregate skeleton structure in asphalt concrete with S>0.76, SF of 0.80-1.20, and E of 0.79-0.88. The aggregate texture was uneven, and the physical adsorption between the asphalt and the aggregates on the contact surface was relatively high when JRC3D ≥ 11.0.
Abstract：This study quantitatively analyzed the shape, angularity, and roughness of road aggregate particles. A contactless three-dimensional (3D) scanning technique was used to capture the 3D coordinate data of point clouds on an aggregate surface. The data were then used to reconstruct 3D elevation digital models of aggregate particles. Six independent feature parameters were subsequently used as an evaluation index to quantitatively describe the multilevel features of the 3D morphology of road aggregates. The methods for calculating and analyzing the feature parameters on the basis of the cloud data of the aggregate scanning point were also presented. The 3D morphologies of four types of road aggregates were studied. On the basis of the results, an aggregate polishing testing system was developed, and the practicability of the 3D roughness coefficient index was demonstrated accordingly. Results show that (1) the sphericity index can describe the compactness of aggregate shape, (2) the shape factor index can describe the needle-flake properties of aggregates, (3) the ellipsoid index can evaluate the sharp edges and corners of aggregates, (4) the maximum surface curvature can be used to identify the local angular features of particles, (5) the two-dimensional roughness index can be used to analyze the anisotropic characteristics of the surface profiles of aggregates, and (6) the 3D roughness index is suitable for evaluating the roughness of aggregate surface texture at the mesoscopic level. Under the experimental conditions of this study, the shape and angular features of aggregate particles matched the requirements of road performance. This result benefitted the formation of an aggregate skeleton structure in asphalt concrete with S>0.76, SF of 0.80-1.20, and E of 0.79-0.88. The aggregate texture was uneven, and the physical adsorption between the asphalt and the aggregates on the contact surface was relatively high when JRC3D ≥ 11.0.
基金资助:Supported by the National Natural Science Fund (No.51708267); the National Key Research and Development Plan of the 13th Five-Year Plan (No.2017YFC0804601)
通讯作者:
LI Luo-ke
E-mail: Locke@kust.edu.cn
引用本文:
李洛克, 刘海明, 张镇国, 曹鹏, 严圆. Quantitative Characterization of 3D Road Aggregate Morphology[J]. Journal of Highway and Transportation Research and Development, 2021, 15(1): 22-30.
LI Luo-ke, LIU Hai-ming, ZHANG Zhen-guo, CAO Peng, YAN Yuan. Quantitative Characterization of 3D Road Aggregate Morphology. Journal of Highway and Transportation Research and Development, 2021, 15(1): 22-30.
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2021, Vol. 15 
