Research on the Prediction Model of the Friction Coefficient of Asphalt Pavement Based on Tire-Pavement Coupling

The correlations between pavement texture and tire pressure with the actual tire-road contact area were first investigated according to the tire-road static contact characteristics; on this basis, the influence mechanisms of speed and pavement texture on the pavement friction coefficient were system...

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Bibliographic Details
Published in:Advances in materials science and engineering 2021, Vol.2021 (1)
Main Authors: Yu, Miao, Xu, Xinquan, Wu, Chuanhai, Li, Shanqiang, Li, Mingxia, Chen, Haifeng
Format: Article
Language:English
Subjects:
Aggregates
Asphalt pavements
Coefficient of friction
Contact pressure
Correlation coefficients
Coupling
Dynamic tests
Engineering
Finite element analysis
Influence
Model accuracy
Neural networks
Prediction models
Regression models
Rubber
Sliding friction
Stone
System dynamics
Texture
Traffic accidents & safety
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Summary:The correlations between pavement texture and tire pressure with the actual tire-road contact area were first investigated according to the tire-road static contact characteristics; on this basis, the influence mechanisms of speed and pavement texture on the pavement friction coefficient were systematically explored from the angle of tire-road coupling system dynamics via the self-developed dynamic testing system of tire-pavement friction. By integrating the above influence factors, the BP neural network method was applied to the regression of the prediction model for the asphalt pavement friction coefficient. Through the comparison between the model measured value and estimated value, their correlation coefficient R2 reached 0.73, indicating that this model is of satisfactory prediction accuracy and applicable to the antiskid design of asphalt pavement.
ISSN:1687-8434
1687-8442
DOI:10.1155/2021/6650525