|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]

Roughness evaluation of three-dimensional asphalt pavementbased on two-dimensional power spectral density()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2022 4
Research Field:
Traffic and Transportation Engineering
Publishing date:


Roughness evaluation of three-dimensional asphalt pavementbased on two-dimensional power spectral density
Ding Zhike Xu Feiyun Zhao Xun
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
roughness power spectral density three- dimensional asphalt pavement
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.


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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