Influence of coarse aggregate meso-fabric on dynamic modulus of porous asphalt mixtures: An X-ray CT voxel reconstruction approach

Coarse aggregate contacts and orientations govern load-transfer paths in porous asphalt (PA) mixtures, yet their respective relationships with dynamic modulus (| E *|) remain unclear. Industrial X-ray computed tomography (X-CT) and digital image processing were used to reconstruct air void and coarse aggregate skeleton voxel models for six PA-13 gradations. Fabric tensors were employed to quantify anisotropy of contact normals and major axis orientations, and the resulting parameters were correlated with | E *| of PA mixtures. The results show that reconstructed air void contents agreed with measurements, yielding a mean relative error (MRE) of 5.15%. Spatially, the air voids followed a U-shaped distribution along the specimen height. Coordination number increased with particle size, while major axis inclinations were concentrated between 40° and 140° and approximated a normal distribution. Additionally, contact normal and major axis orientation fabrics showed distinct anisotropy, with greater horizontal dispersion for the latter. Across most temperature-frequency combinations, contact normal fabric parameters showed stronger associations with | E *| than major axis orientation fabrics, particularly under low-temperature and intermediate-temperature low-frequency conditions. Within this six gradation dataset, contact networks better explained differences in | E *| among gradations than particle orientation. Consequently, the findings offer valuable insights for assessing skeleton load-bearing capacity and optimizing gradation design in PA mixtures.

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Publication Details

Journal
Construction and Building Materials
Published
2026-09-28
DOI
https://doi.org/10.1016/j.conbuildmat.2026.148248
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
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article

Influence of coarse aggregate meso-fabric on dynamic modulus of porous asphalt mixtures: An X-ray CT voxel reconstruction approach

Xuan Zhu, Changyun Shi, Huanan Yu, Wei Xia et al.
Construction and Building Materials
Asphalt Pavement Performance Evaluation
article

Influence of coarse aggregate meso-fabric on dynamic modulus of porous asphalt mixtures: An X-ray CT voxel reconstruction approach

Xuan Zhu, Changyun Shi, Huanan Yu, Wei Xia, Qi He, Yanyu Yu, Feng Wang
article en

Abstract

Coarse aggregate contacts and orientations govern load-transfer paths in porous asphalt (PA) mixtures, yet their respective relationships with dynamic modulus (| E *|) remain unclear. Industrial X-ray computed tomography (X-CT) and digital image processing were used to reconstruct air void and coarse aggregate skeleton voxel models for six PA-13 gradations. Fabric tensors were employed to quantify anisotropy of contact normals and major axis orientations, and the resulting parameters were correlated with | E *| of PA mixtures. The results show that reconstructed air void contents agreed with measurements, yielding a mean relative error (MRE) of 5.15%. Spatially, the air voids followed a U-shaped distribution along the specimen height. Coordination number increased with particle size, while major axis inclinations were concentrated between 40° and 140° and approximated a normal distribution. Additionally, contact normal and major axis orientation fabrics showed distinct anisotropy, with greater horizontal dispersion for the latter. Across most temperature-frequency combinations, contact normal fabric parameters showed stronger associations with | E *| than major axis orientation fabrics, particularly under low-temperature and intermediate-temperature low-frequency conditions. Within this six gradation dataset, contact networks better explained differences in | E *| among gradations than particle orientation. Consequently, the findings offer valuable insights for assessing skeleton load-bearing capacity and optimizing gradation design in PA mixtures.

Construction and Building MaterialsVol. 544
Hunan City University (CN), Changsha University of Science and Technology (CN), University of South China (CN)
Sustainable cities and communities
Openalex Percentile: Top 18%
Asphalt Pavement Performance Evaluation
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