Abstract
To accurately determine the surface texture information of asphalt pavement, this paper adopted the Florida texture meter (FTM) to detect the mean profile depth (DMPD) of 12 asphalt pavements. Based on the detected DMPD data, the FTM accuracy was analyzed, with the influencing factors of FTM measurement data explored. On this basis, FTM's reliability in measuring the surface texture information of asphalt pavement was further verified by comparing the data measured by FTM and the circular track meter (CTM). The results show that FTM can effectively detect the surface texture information of asphalt pavement, and DMPD can be rapidly measured by employing FTM. There is high correlation in the results obtained by FTM and CTM, and the FTM test results can serve as a reliable basis for characterizing the skid resistance performance of asphalt pavement. Additionally, the testing location, gradation type, and aggregate type have a significant influence on the surface texture of the tested road.
Publication Date
1-18-2024
DOI
10.14048/j.issn.1671-2579.2023.06.012
First Page
74
Last Page
78
Submission Date
March 2025
Recommended Citation
Zhanquan, CHEN
(2024)
"Detection method and acc uracy analysis of asphalt pavement surface texture,"
Journal of China & Foreign Highway: Vol. 43:
Iss.
6, Article 122.
DOI: 10.14048/j.issn.1671-2579.2023.06.012
Available at:
https://zwgl1980.csust.edu.cn/journal/vol43/iss6/122
Reference
[1] BAQERSAD M, MOHAMMADAFZALI M, CHOUBANE B, et al. Precision assessment of the Florida texture meter in hot mix asphalt[J]. Journal of Transportation Engineering, Part B: Pavements, 2018, 144(2): 04018003. [2] LEE H, UPSHAW P, HOLZSCHUHER C, et al. Detection of asphalt concrete segregation using laser texturemeters[C]//Proceedings of the Transportation Research Board 93rd Annual Meeting,2014. [3] SUN L, WANG Y Y. Three-dimensional reconstruction of macrotexture and microtexture morphology of pavement surface using six light sources–based photometric stereo with low-rank approximation[J]. Journal of Computing in Civil Engineering, 2017, 31(2): 04016054. [4] BAQERSAD M, MOHAMMADAFZALI M, CHOUBANE B, et al. Application of laser macrotexture measurement for detection of segregation in asphalt pavements[J]. Journal of Transportation Engineering, Part B: Pavements, 2018, 144(3): 04018032. [5] 陈嘉颖, 黄晓明, 郑彬双, 等. 基于近景摄影测量技术的沥青路面纹理实时识别系统[J]. 东南大学学报(自然科学版), 2019, 49(5): 973-980. CHEN Jiaying, HUANG Xiaoming, ZHENG Binshuang, et al. Real-time identification system of asphalt pavement texture based on close-range photogrammetry[J]. Journal of Southeast University (Natural Science Edition), 2019, 49(5): 973-980. [6] 周兴林, 肖神清, 刘万康, 等. 沥青路面表面纹理的多重分形特征及其磨光行为[J]. 东南大学学报(自然科学版), 2018, 48(1): 175-180. ZHOU Xinglin, XIAO Shenqing, LIU Wankang, et al. Multifractal characteristics and polishing behaviors of surface texture on asphalt pavement[J]. Journal of Southeast University (Natural Science Edition), 2018, 48(1): 175-180. [7] LIU Q F, KAVANAGH L, SHALABY A, et al. Comparison of pavement texture measurements from a three-dimensional profiler and a circular track meter at MnROAD test facilities[J]. Transportation Research Record: Journal of the Transportation Research Board, 2016, 2591(1): 121-129. [8] PROWELL B, HANSON D. Evaluation of circular texture meter for measuring surface texture of pavements[J]. Transportation Research Record: Journal of the Transportation Research Board, 2005, 1929: 88-96. [9] ABE H, TAMAI A, HENRY J J, et al. Measurement of pavement macrotexture with circular texture meter[J]. Transportation Research Record: Journal of the Transportation Research Board, 2001, 1764(1): 201-209. [10] JACKSON N M, CHOUBANE B, HOLZSCHUHER C. Assessment of precision of circular track meter and dynamic friction tester[J]. Transportation Research Record: Journal of the Transportation Research Board, 2009, 2093(1): 118-127. [11] MATAEI B, ZAKERI H, ZAHEDI M, et al. Pavement friction and skid resistance measurement methods: a literature review[J]. Open Journal of Civil Engineering, 2016, 6(4): 537-565. [12] 王元元.沥青路面抗滑特性与其表面粗糙特性之关系研究[D].南京:东南大学,2017. WANG Yuanyuan. Study on the relationship between anti-slip characteristics and surface roughness characteristics of asphalt pavement [D]. Nanjing: Southeast University, 2017. [13] 朱晟泽.基于路面宏观纹理的轮胎抗滑行为数值模拟研究[D].南京:东南大学,2017. ZHU Shengze. Numerical simulation of tire skid resistance based on pavement macro texture [D]. Nanjing: Southeast University, 2017.