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

Wangkui Bian, Hui Zhang, Weimin Jiang, Shoujing Yan, Chenchen Xi

Advances in Computer and Materials Scienc Research Vol. 2 / No. 1 / pp. 170-178 / March 6, 2025

DOI 10.70114/acmsr.2025.2.1.P170

Full Screen
PDF

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

Keywords

Asphalt Pavement / Mechanistic-Empirical Methodology / Long-Term Performance

2025 International Conference on Computer Science, Civil Engineering and Architecture, and Materials Applications

Full Text

Download PDF

More in This Issue

  1. 1 Safety Analysis on Construction Supports for Long-Span Bridge Structures pp. 1–6
  2. 7 Study on the Influence of New Early Dismantling Formwork on the Structural Performance of Reinforced Concrete Floor Slabs pp. 7–12
  3. 13 The Analysis and Discussion of Risks Related to FDA Adverse Event of Continuous Glucose Monitoring System pp. 13–19
  4. 20 Analysis of the Deformation Performance of Superimposed Wall Plane pp. 20–24
Full Issue

Cite This Article