|Table of Contents|

[1] Ding Zhike, Xu Feiyun, Zhao Xun,. Roughness evaluation of three-dimensional asphalt pavementbased on two-dimensional power spectral density [J]. Journal of Southeast University (English Edition), 2022, 38 (4): 401-407. [doi:10.3969/j.issn.1003-7985.2022.04.009]
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Roughness evaluation of three-dimensional asphalt pavementbased on two-dimensional power spectral density()
基于二维功率谱密度的三维沥青路面平整度评估
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
38
Issue:
2022 4
Page:
401-407
Research Field:
Traffic and Transportation Engineering
Publishing date:
2022-12-20

Info

Title:
Roughness evaluation of three-dimensional asphalt pavementbased on two-dimensional power spectral density
基于二维功率谱密度的三维沥青路面平整度评估
Author(s):
Ding Zhike Xu Feiyun Zhao Xun
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
丁治科 许飞云 赵勋
东南大学机械工程学院, 南京 211189
Keywords:
roughness power spectral density three- dimensional asphalt pavement
平整度 功率谱密度 三维沥青路面
PACS:
U416.2
DOI:
10.3969/j.issn.1003-7985.2022.04.009
Abstract:
To solve the problem of the lack of comprehensive evaluation of three-dimensional(3D)asphalt pavement roughness, a method for evaluating the asphalt pavement roughness is proposed based on two-dimensional(2D)power spectral density(PSD). By calculating the 2D PSD of a 3D asphalt pavement and converting it into the longitudinal average asphalt pavement PSD, the relationship between the evaluation method of the 3D asphalt pavement roughness and the current evaluation standard of roughness is established. Combined with the road-fitting formula used in international standards, the elevation data of the A, B, C, and D grades of the 3D asphalt pavement are simulated by the harmonic superposition method. According to the proposed method, the longitudinal PSD of each level of simulated asphalt pavement is calculated and compared with the standard spectral line of each pavement level. This approach verifies the effectiveness of the proposed method in evaluating the roughness of the 3D asphalt pavement. Compared with the PSD of a certain horizontal profile elevation, it is verified that the fluctuation amplitude of the spectral line calculated by the proposed method is greatly improved. The results show that the proposed method can evaluate the roughness of asphalt pavements more comprehensively and accurately and has strong practicability.
为了解决全面评估三维沥青路面平整度的问题, 基于二维功率谱密度提出了评估三维沥青路面平整度的方法.通过计算三维沥青路面的二维功率谱密度, 再转化为纵向平均路面功率谱密度, 建立了三维沥青路面平整度评价方式与现行平整度评价标准的联系.利用国际标准中采用的幂函数道路拟合公式, 通过谐波叠加法仿真出A、B、C和D级三维沥青路面的高程.根据所提方法计算出各级仿真路面的纵向功率谱密度, 并与各级路面标准谱线进行对比, 验证了该方法评估三维沥青路面平整度的有效性.通过与横向某一纵断面高程的功率谱密度谱线进行比较, 验证了该方法谱线的波动幅度有很大的改善.结果表明, 所提方法可以更加全面且准确地评估沥青路面的平整度, 并且具有较强的实用性.

References:

[1] Zamora Alvarez E J, Ferris J B, Scott D, et al. Development of a discrete roughness index for longitudinal road profiles[J].International Journal of Pavement Engineering, 2018, 19(12): 1043-1052. DOI:10.1080/10298436.2016.1237180.
[2] Lee J, Abdel-Aty M, Nyame-Baafi E. Investigating the effects of pavement roughness on freeway safety using data from five states[J]. Transportation Research Record: Journal of the Transportation Research Board, 2020, 2674(2): 127-134. DOI:10.1177/0361198120905834.
[3] Sime M, Bailey G, Hajj E Y, et al. Impact of pavement roughness on fuel consumption for a range of vehicle types[J].Journal of Transportation Engineering, Part B: Pavements, 2021, 147(3): 04021022. DOI:10.1061/jpeodx.0000272.
[4] Zhou X Q, Sun L J, Yan L. Development and trend of pavement evenness evaluation [J]. Highway Transportation Technology, 2005(10): 18-22.(in Chinese)
[5] Wang D W, Wang C H, Bernhard S, et al. Overview on evaluation methods of pavement evenness for pavements without speed limitations in Germany[J].China Journal of Highway and Transport, 2019(4): 105-113, 129.(in Chinese)
[6] Zhang Z, Zhang H L, Xu S, et al. Pavement roughness evaluation method based on the theoretical relationship between acceleration measured by smartphone and IRI[J].International Journal of Pavement Engineering, 2022, 23(9): 3082-3098. DOI:10.1080/10298436.2021.1881783.
[7] Yu H. Mechanical parts defect detection method based on computer vision technology[C]//2015 Seventh International Conference on Measuring Technology and Mechatronics Automation. Nanchang, China, 2015: 630-633. DOI:10.1109/ICMTMA.2015.158.
[8] Mahmoudzadeh A, Golroo A, Jahanshahi M R, et al.Estimating pavement roughness by fusing color and depth data obtained from an inexpensive RGB-D sensor[J]. Sensors(Basel, Switzerland), 2019, 19(7): 1655. DOI:10.3390/s19071655.
[9] Dong X D, Lou P, Yan J W, et al. A detection method for pavement roughness with binocular vision[C]//Proc SPIE 11373, Eleventh International Conference on Graphics and Image Processing(ICGIP 2019). Hangzhou, China, 2020, 11373: 613-619. DOI:10.1117/12.2557811.
[10] Sun L. Simulation of pavement roughness and IRI based on power spectral density[J].Mathematics and Computers in Simulation, 2003, 61(2): 77-88. DOI:10.1016/S0378-4754(01)00386-X.
[11] Papagiannakis A T, Raveendran B. International standards organization-compatible index for pavement roughness[J].Transportation Research Record: Journal of the Transportation Research Board, 1998, 1643(1): 110-115. DOI:10.3141/1643-14.
[12] Niu K, Li C. Simulation of pavement roughness based on time domain model [J]. Journal of Southeast University(English Edition), 2010, 26(3): 475-479. DOI:10.3969/j.issn.1003-7985.2010.03.021.
[13] Huang Z Q, Zheng W H. Modeling of ADAMS 3D random road with Matlab[J]. Modern Defence Technology, 2018, 46(3): 165-170.(in Chinese)
[14] Zhou J. Study on field test procedures for highway subgrade and pavement [J]. Building Materials and Decoration, 2018, (47): 274.(in Chinese)

Memo

Memo:
Biographies: Ding Zhike(1998—), male, graduate; Xu Feiyun(corresponding author), male, doctor, professor, fyxu@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No. 51975117).
Citation: Ding Zhike, Xu Feiyun, Zhao Xun. Roughness evaluation of three-dimensional asphalt pavement based on two-dimensional power spectral density[J].Journal of Southeast University(English Edition), 2022, 38(4):401-407.DOI:10.3969/j.issn.1003-7985.2022.04.009.
Last Update: 2022-12-20