This paper presents an I-R-F model for rutting evolution in asphalt pavement, highlighting aging factors and nonlinear relationships.
Under different time and space conditions, the rutting evolution of asphalt pavement has a complex nonlinear relationship with axle load, temperature, humidity and material. How to express the rutting evolution of asphalt pavement systematically and explicitly has always been a difficult problem in the industry. In this paper, the I -R -F model is proposed for the first time, which can express the rutting evolution of all semi-rigid asphalt pavement forms explicitly. Compared with other mature explicit model frameworks, the structure is more standard, parameters are simplified and the fitting accuracy is higher. The proposed model has improved the rutting fitting accuracy on semi-rigid asphalt roads by an average of 0.018. It is obtained by improving the R -F model framework in the previous research results of the author, introducing the influence factors of ultraviolet aging to correct the model, and further performing Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise and wavelet packet threshold denoising on the RIOHTrack data, ultimately achieving a good fitting effect for rutting evolution.
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Bo et al. (2025) studied this question.
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