Research on the effects of gradation composition on skeletal contact characteristics and homogeneity of asphalt mixtures

Abstract Conventional asphalt mixture gradation design is based on macroscopic volumetric and mechanical properties, without adequate microstructural evaluation frameworks. Therefore, an image-based analytical approach for characterizing the aggregate skeleton in asphalt mixtures was proposed. The coarse aggregate phase was first isolated using threshold-based image segmentation algorithms, generating binary representations of particle distribution patterns. Then contact analysis was performed across a range of thresholds (0.5–2.0 mm), with 1 mm identified as the critical value for defining effective inter-aggregate contacts in the mixture. Subsequently, skeletal parameter analysis was conducted across varying specimen heights, with evaluation parameters standardized to the 6–14 cm zone to ensure representative characterization. Comparative analysis of three distinct gradations (coarse, intermediate, fine) revealed that the intermediate gradation not only developed the most favorable skeletal microstructure. And the dynamic stability of Type-B graded asphalt mixture is 38% higher than that of Type-A and 23% higher than that of Type-C. Morever, a significant correlation was observed between high-temperature performance (dynamic stability and penetration strength) and skeleton parameters, with a correlation coefficient greater than 0.9. This study proposes an innovative evaluation framework that enhances the current mix design process of asphalt mixtures by integrating performance-based parameters.

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Publication Details

Journal
Materials Research Express
Published
2025-11-26
DOI
https://doi.org/10.1088/2053-1591/ae24c9
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
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article

Research on the effects of gradation composition on skeletal contact characteristics and homogeneity of asphalt mixtures

qunfeng Zhang, Sujing Jin, Dan Zeng, Weijun Guo
Materials Research Express
Asphalt Pavement Performance Evaluation
article

Research on the effects of gradation composition on skeletal contact characteristics and homogeneity of asphalt mixtures

qunfeng Zhang, Sujing Jin, Dan Zeng, Weijun Guo
article en

Abstract

Abstract Conventional asphalt mixture gradation design is based on macroscopic volumetric and mechanical properties, without adequate microstructural evaluation frameworks. Therefore, an image-based analytical approach for characterizing the aggregate skeleton in asphalt mixtures was proposed. The coarse aggregate phase was first isolated using threshold-based image segmentation algorithms, generating binary representations of particle distribution patterns. Then contact analysis was performed across a range of thresholds (0.5–2.0 mm), with 1 mm identified as the critical value for defining effective inter-aggregate contacts in the mixture. Subsequently, skeletal parameter analysis was conducted across varying specimen heights, with evaluation parameters standardized to the 6–14 cm zone to ensure representative characterization. Comparative analysis of three distinct gradations (coarse, intermediate, fine) revealed that the intermediate gradation not only developed the most favorable skeletal microstructure. And the dynamic stability of Type-B graded asphalt mixture is 38% higher than that of Type-A and 23% higher than that of Type-C. Morever, a significant correlation was observed between high-temperature performance (dynamic stability and penetration strength) and skeleton parameters, with a correlation coefficient greater than 0.9. This study proposes an innovative evaluation framework that enhances the current mix design process of asphalt mixtures by integrating performance-based parameters.

Materials Research ExpressVol. 13(3)
Transport Research Institute (RO), Zhejiang Institute of Communications (CN), Zhejiang Lab (CN)
Openalex Percentile: Top 62%
Asphalt Pavement Performance Evaluation
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Research on the effects of gradation composition on skeletal contact characteristics and homogeneity of asphalt mixtures — qunfeng Zhang, Sujing Jin, et al. · Materials Research Express (2025) | TGRS Research Map | TGRS