Development and Validation of Asphalt Pavement Rutting Prediction Model with Transient Temperature Field Considered

This study developed a transient rutting analysis program based on the principles of heat transfer and the viscoelastic–viscoplastic theory of asphalt mixtures. Using the finite element model (FEM) model corresponding to the multi-layer pavement structure and the subprogram interface of ABAQUS software, along with Python programming, the program was designed to estimate rutting under transient temperature field conditions with climate conditions, traffic flow, and structure layer constitutive parameters of pavement considered. Subsequently, the program was used to validate the efficiency of the solution and analyze the influencing factors of internal temperature field and rutting depth within the asphalt pavement structure. Results showed that, based on meteorological data and recommended values of material thermal properties, the FEM of transient temperature field can accurately simulate the temperature field distribution of pavement structure. Based on loading information and dynamic modulus test, the transient temperature variable rutting with FEM proposed in this paper can simulate and calculate the rutting of pavement structure layer with some errors for different pavement conditions from 5% to 40%. Through parametric analysis of the influence factors of temperature field and rutting, the modified transient temperature field rutting prediction program can effectively simulate rutting of pavement structure, and the minor errors were less than 20%.

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Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2024-10-25
DOI
https://doi.org/10.1177/03611981241284623
Citations
2
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.52
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article

Development and Validation of Asphalt Pavement Rutting Prediction Model with Transient Temperature Field Considered

Chengcheng Fan, Guozhong Cao, Changjun Zhou, Fei Liu et al.
2 citations
Transportation Research Record Journal of the Transportation Research Board
Asphalt Pavement Performance Evaluation
0.52
article

Development and Validation of Asphalt Pavement Rutting Prediction Model with Transient Temperature Field Considered

Chengcheng Fan, Guozhong Cao, Changjun Zhou, Fei Liu, Zengtao Chen, Baomin Wang
article en
2 citations

Abstract

This study developed a transient rutting analysis program based on the principles of heat transfer and the viscoelastic–viscoplastic theory of asphalt mixtures. Using the finite element model (FEM) model corresponding to the multi-layer pavement structure and the subprogram interface of ABAQUS software, along with Python programming, the program was designed to estimate rutting under transient temperature field conditions with climate conditions, traffic flow, and structure layer constitutive parameters of pavement considered. Subsequently, the program was used to validate the efficiency of the solution and analyze the influencing factors of internal temperature field and rutting depth within the asphalt pavement structure. Results showed that, based on meteorological data and recommended values of material thermal properties, the FEM of transient temperature field can accurately simulate the temperature field distribution of pavement structure. Based on loading information and dynamic modulus test, the transient temperature variable rutting with FEM proposed in this paper can simulate and calculate the rutting of pavement structure layer with some errors for different pavement conditions from 5% to 40%. Through parametric analysis of the influence factors of temperature field and rutting, the modified transient temperature field rutting prediction program can effectively simulate rutting of pavement structure, and the minor errors were less than 20%.

Transportation Research Record Journal of the Transportation Research BoardVol. 2679(3)
University of Alberta (CA), Dalian University of Technology (CN)
Climate action
Openalex Percentile: Top 35%
Asphalt Pavement Performance Evaluation
0.52
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