Mechanistic method of predicting asphalt pavement roughness using realpavement profile and complete vehicle model(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2018年05期
- Page:
- 58-66
- Research Field:
- 道路工程
- Publishing date:
Info
- Title:
- Mechanistic method of predicting asphalt pavement roughness using realpavement profile and complete vehicle model
- Author(s):
- CHEN Zhengwei1; XU Song2; ZHANG Hongliang1; ZHANG Gaowang1
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- Keywords:
- road engineering; pavement roughness; mechanistic predicting; whole vehicle model; real profile; international roughness index; timing of preventive maintenance
- PACS:
- -
- DOI:
- -
- Abstract:
- In order to accurately predict the development of the roughness of asphalt pavement to determine the timing of preventive maintenance of the pavement， a mechanistic prediction method of the asphalt pavement roughness was developed, which considers the mutual promotion between the permanent deformation of the asphalt pavement and the dynamic loads exerted by a vehicle. Using the vehicle dynamics simulation software TruckSim, a Convey Van vehicle model was adopted to account the vehicle’s overturning, turning and tire characteristics. the highway center line was set to a straight line, and the actual profile of the center line was obtained according to the elevation data of each point of the center line. The friction coefficient of the pavement was set to a constant, the dynamic load applied to the asphalt pavement by a vehicle traveling at 80 km/h was analyzed, and the equivalent conversion of the axle load was performed according to the permanent deformation equivalence of the asphalt pavement. The layerwise summation method was employed to calculate the permanent deformation of the pavement by the BISAR software. Then, the permanent deformation was subtracted from the pavement profile. Consequently, the pavement profile at the end of each year was obtained, and the above mentioned process was repeated for each year. Based on the quartervehicle model, the vibrations of the vehicle were analyzed by the transfer matrix method in which the transfer matrix and coefficient of variables were computed. Accordingly, the international roughness index (IRI) of the pavement at the end of each year was calculated via the VB procedure. The roughness prediction procedures and case study were provided. The results show that the errors of the transfer matrix and coefficient of variables are tolerable. It is possible to predict the development of pavement roughness when the mutual promotion between the dynamic load and permanent deformation is taken into account. The deterioration rate of the pavement roughness varies for different pavement ages the pavement roughness deteriorates increasingly with time. The pavement profile model and the complete vehicle model are in good agreement with the actual ones, the method developed in this study can accurately predict the development of asphalt pavement roughness, which helps accurately determine the timing of preventive maintenance of the asphalt pavement. 4 tabs, 7 figs, 25 refs.
Last Update: 2018-10-23