Asphalt Pavement Long-Term Performance Prediction Based on Mechanistic-Empirical Methodology

The long-term performance trends of asphalt pavements are pivotal to the concerns of road maintenance authorities. However, predicting the longevity of asphalt pavement performance accurately is a complex challenge due to the multitude of factors influencing its deterioration. This paper constructs a predictive model for long-term behavior of asphalt pavements grounded in the mechanistic-empirical methodology. An extensive observation was conducted on highways, where data on the pavement condition index and the road quality index were meticulously gathered. Subsequently, the model’s life factor and shape factor parameters were corrected. The findings indicate that the predictive methodology derived from mechanistic-empirical methodology for asphalt pavement performance exhibits commendable accuracy and good generalization capabilities

Authors

Publication Details

Journal
Advances in computer and materials science research.
Published
2025-03-06
DOI
https://doi.org/10.70114/acmsr.2025.2.1.p170
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
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article

Asphalt Pavement Long-Term Performance Prediction Based on Mechanistic-Empirical Methodology

Chenchen Xi, Shoujing Yan, Hui Zhang, Wei Bian et al.
Advances in computer and materials science research.
Asphalt Pavement Performance Evaluation
article

Asphalt Pavement Long-Term Performance Prediction Based on Mechanistic-Empirical Methodology

Chenchen Xi, Shoujing Yan, Hui Zhang, Wei Bian, Weimin Jiang
article en

Abstract

The long-term performance trends of asphalt pavements are pivotal to the concerns of road maintenance authorities. However, predicting the longevity of asphalt pavement performance accurately is a complex challenge due to the multitude of factors influencing its deterioration. This paper constructs a predictive model for long-term behavior of asphalt pavements grounded in the mechanistic-empirical methodology. An extensive observation was conducted on highways, where data on the pavement condition index and the road quality index were meticulously gathered. Subsequently, the model’s life factor and shape factor parameters were corrected. The findings indicate that the predictive methodology derived from mechanistic-empirical methodology for asphalt pavement performance exhibits commendable accuracy and good generalization capabilities

Advances in computer and materials science research.Vol. 2(1)
Openalex Percentile: Top 96%
Asphalt Pavement Performance Evaluation
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