Effect of Aggregate and Void Characteristics on Shear Resistance of Asphalt Mixtures

Shear strength plays a critical role in the rutting resistance of asphalt pavements. In this study, a three-dimensional discrete element method (DEM) model was developed in PFC3D to systematically investigate the effects of aggregate and void characteristics on the shear resistance of asphalt mixtures under triaxial loading. The simulation results exhibited excellent agreement with laboratory triaxial tests across varying confining pressures and mixture gradations, confirming the reliability of the DEM approach. Both aggregate and void characteristics were found to exert significant influences on shear deformation. Uniform aggregate distributions and higher friction coefficients enhanced interparticle interlocking, thereby increasing cohesion, internal friction angle, and shear resistance. In contrast, elevated air-void contents or nonuniform void distributions significantly degraded shear performance, whereas a well-distributed void size range (1–4 mm) optimized aggregate skeleton interlocking and load-transfer efficiency. These findings provide micromechanical insights into the mechanisms governing shear resistance and offer practical guidance for designing asphalt mixtures with improved rutting resistance.

Authors

Institutions

Publication Details

Journal
Processes
Published
2025-10-28
DOI
https://doi.org/10.3390/pr13113461
Citations
1
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of Aggregate and Void Characteristics on Shear Resistance of Asphalt Mixtures

Xiaobo Du, Mutian Sun, Wenyuan Huang, Hongwei Lin et al.
1 citations
Processes
Asphalt Pavement Performance Evaluation
0.95
article

Effect of Aggregate and Void Characteristics on Shear Resistance of Asphalt Mixtures

Xiaobo Du, Mutian Sun, Wenyuan Huang, Hongwei Lin, Yuanzhuo Yu
article en
1 citations

Abstract

Shear strength plays a critical role in the rutting resistance of asphalt pavements. In this study, a three-dimensional discrete element method (DEM) model was developed in PFC3D to systematically investigate the effects of aggregate and void characteristics on the shear resistance of asphalt mixtures under triaxial loading. The simulation results exhibited excellent agreement with laboratory triaxial tests across varying confining pressures and mixture gradations, confirming the reliability of the DEM approach. Both aggregate and void characteristics were found to exert significant influences on shear deformation. Uniform aggregate distributions and higher friction coefficients enhanced interparticle interlocking, thereby increasing cohesion, internal friction angle, and shear resistance. In contrast, elevated air-void contents or nonuniform void distributions significantly degraded shear performance, whereas a well-distributed void size range (1–4 mm) optimized aggregate skeleton interlocking and load-transfer efficiency. These findings provide micromechanical insights into the mechanisms governing shear resistance and offer practical guidance for designing asphalt mixtures with improved rutting resistance.

ProcessesVol. 13(11)
Tongji University (CN), Chongqing University of Arts and Sciences (CN), Detection Limit (United States) (US)
Openalex Percentile: Top 20%
Asphalt Pavement Performance Evaluation
0.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Effect of Aggregate and Void Characteristics on Shear Resistance of Asphalt Mixtures — Xiaobo Du, Mutian Sun, et al. · Processes (2025) | TGRS Research Map | TGRS