INORGANIC MATERIALS AND CERAMIC MATRIX COMPOSITES |
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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
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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 |
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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.
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Published:
Online: 2024-10-12
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Fund:This work was financially supported by the National Natural Science Foundation of China (52278431), Natural Science Foundation of Shandong Province (ZR202211280381). |
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1 ISO13473-1, Characterization of Pavement Texture by Use of Surface Profiles -Part 1:Determination of Mean Profile Depth. 2019. 2 Guo M, Ren X, Jiao Y B, et al. China Journal of Highway and Transport, 2022, 35(4), 41. 郭猛, 任鑫, 焦峪波, 等. 中国公路学报, 2022, 35(4), 41. 3 Chen D. Study on image-based texture analysis method and prediction of skid-resistance & tire/pavement noise reduction of HMA. Ph.D. Thesis, Chang’an University, 2015(in Chinese). 陈德. 沥青混合料表面构造图像评价方法及抗滑降噪性能预测研究. 博士学位论文, 长安大学, 2015. 4 Puzzo L, Loprencipe G, Tozzo C, et al. Measurement, 2017, 111, 146. 5 Ma T, Tong Z, Zhang Y M, et al. China Journal of Highway and Transport, 2023, 36(3), 70. 马涛, 童峥, 张一鸣, 等. 中国公路学报, 2023, 36(3), 70. 6 Pomoni M, Plati C, Loizos A, et al. International Journal of Pavement Engineering, DOI:10. 1080/10298436. 2020. 1788029. 7 Shi W F, Niu D Y, Li Z, et al. Computer-Aided Civil and Infrastructure Engineering, DOI:10. 1111/mice. 13063. 8 Anfosso-Lédée F, Do M T. Transportation Research Record, 2002, 1806(1), 160. 9 Dong S H, Han S, Zhang Q X, et al. Construction and Building Materials, 2021, 287, 122966. 10 Zhang Z, Luan B, Liu X, et al. Applied Acoustics, 2020, 160, 107120. 11 Fwa T F. International Journal of Transportation Science & Technology, 2017, 6(3), 217. 12 de Leon G, Del Pizzo A, Teti L, et al. Road Materials and Pavement Design, 2020, 21, S91. 13 Del Pizzo A, Teti L, Moro A, et al. Applied Acoustics, 2020, 159, 107080. 14 Fang J M, Tu J S, Wu K M. Advances in Materials Science and Engineering, 2020, 1 (2020), 7427314. 15 Zhou X L, Zhu Y Y, Ran M P, et al. China Journal of Highway and Transport, 2019, 32(4), 187. 周兴林, 祝媛媛, 冉茂平, 等. 中国公路学报, 2019, 32(4), 187. 16 Tong S J, Xie X B, Zhao D Y. China Journal of Highway and Transport, 2016, 29(2), 1. 童申家, 谢祥兵, 赵大勇. 中国公路学报, 2016, 29(2), 1. 17 Yang E H, Chen Q, Li J, et al. China Journal of Highway and Transport, 2023, 36(2), 1. 阳恩慧, 陈强, 李杰, 等. 中国公路学报, 2023, 36(2), 1. 18 Ren W Y. Study on the abrasion characteristic of surface texture and Its effect on noise for asphalt pavements. Ph.D. Thesis, Chang’an University, China, 2019(in Chinese). 任万艳. 沥青路面表面纹理磨耗特性及其对噪声的影响研究. 博士学位论文, 长安大学, 2019. 19 Chen D, Ling C, Wang T, et al. Construction and Building Materials, 2018, 173, 801 20 Wang Y Y. Study on the relationship between sliding resistance of asphalt pavement and its surface rough characteristics. Ph.D. Thesis, Southeast University, 2017 (in Chinese). 王元元. 沥青路面抗滑特性与其表面粗糙特性之关系研究. 博士学位论文, 东南大学, 2017. 21 Wang Y, Yang Z, Liu Y, et al. Road Materials and Pavement Design, 2019, 20(5), 1076. 22 JTG/T 3350-03, Technical Specifications for Design and Construction of Porous Asphalt Pavement. 2020. JTG/T 3350-03, 排水沥青路面设计与施工技术规范. 2020. 23 Dong S H, Han S, Yin Y Y, et al. Construction and Building Materials, 2021, 312, 125390. 24 Haralick R M, Shanmugam K, Dinstein I H. IEEE Transactions on systems, man, and cybernetics, 1973(6), 610. 25 Miao Y, Wang L, Wang X, et al. International Journal of Pavement Research and Technology, 2015, 8(4), 243. 26 Chen D, Han S, Ling C, et al. China Journal of Highway and Transport, 2017, 30(10), 25. 陈德, 韩森, 凌诚, 等. 中国公路学报, 2017, 30(10), 25. 27 Han S, Liu M, Fwa T F. Road Materials and Pavement Design, 2020, 21(5), 1312. 28 Clausi D A. Canadian Journal of Remote Sensing, 2002, 28(1), 45. 29 Eleyan A, Demirel H. Turkish Journal of Electrical Engineering & Computer ences, 2011, 19(1), 97. |
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