Multivariate Analysis of Mechanical Response and Rutting Performance in Asphalt Pavements Using 3D-Move Analysis

This study investigates the mechanical response and rutting performance of asphalt pavements using 3D-Move Analysis software based on the three-dimensional continuous finite layer method. A multivariate orthogonal experimental design was employed to simulate two pavement structures with different surface layer combinations (SBS-modified asphalt and SMA) under coupled thermal-mechanical loading. Key parameters including vehicle speed (35–77 km/h), temperature (0–40°C), and traffic volume (15,000–45,000 vehicles/day) were systematically analyzed. Results demonstrate that temperature significantly influences the viscoelastic behavior of asphalt mixtures, and optimal material selection effectively enhances long-term pavement performance. This research provides practical guidance for pavement structural design and material optimization.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-14
DOI
https://doi.org/10.5281/zenodo.19022611
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
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article

Multivariate Analysis of Mechanical Response and Rutting Performance in Asphalt Pavements Using 3D-Move Analysis

Jiwu Huang, Yijun Lu
Zenodo (CERN European Organization for Nuclear Research)
Asphalt Pavement Performance Evaluation
article

Multivariate Analysis of Mechanical Response and Rutting Performance in Asphalt Pavements Using 3D-Move Analysis

Jiwu Huang, Yijun Lu
article en

Abstract

This study investigates the mechanical response and rutting performance of asphalt pavements using 3D-Move Analysis software based on the three-dimensional continuous finite layer method. A multivariate orthogonal experimental design was employed to simulate two pavement structures with different surface layer combinations (SBS-modified asphalt and SMA) under coupled thermal-mechanical loading. Key parameters including vehicle speed (35–77 km/h), temperature (0–40°C), and traffic volume (15,000–45,000 vehicles/day) were systematically analyzed. Results demonstrate that temperature significantly influences the viscoelastic behavior of asphalt mixtures, and optimal material selection effectively enhances long-term pavement performance. This research provides practical guidance for pavement structural design and material optimization.

Zenodo (CERN European Organization for Nuclear Research)
Guangzhou University (CN)
Sustainable cities and communities
Openalex Percentile: Top 21%
Asphalt Pavement Performance Evaluation
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