Grading Design and Performance Evaluation of Porous Asphalt Mixture: A Synergistic Optimization of Pavement Performance and Sound Absorption

To address the current absence of targeted gradation design for porous asphalt pavements both domestically and internationally, this study employs the Coarse Aggregate Void Filling (CAVF) method to design the gradation of porous asphalt mixtures. Marshall stability tests, rutting tests, and scattering tests were conducted to investigate the relationship between coarse aggregate proportions and the structural stability of the mixture skeleton. An orthogonal experimental design was further utilized to examine the influence of three levels of fine aggregate gradation on the acoustic absorption characteristics of the mixture, and to analyze the effects of aggregate gradation on the primary pore diameter, connected pore diameter, and connected pore length. The results indicate that the coarse aggregate gradation predominantly governs the skeleton strength and overall pavement performance of the mixture, whereas the fine aggregate gradation exhibits significant effects on the interconnected void ratio, pore structure, and sound absorption performance. The optimal roughness range of coarse aggregates in porous asphalt mixtures is determined to be 0.46–0.52. The proportion of 0.6–1.18 mm aggregates has a pronounced influence on the primary pore diameter, connected pore diameter, and connected pore length. By integrating the design considerations for both coarse and fine aggregate gradations, a recommended gradation range for porous asphalt mixtures is proposed that achieves a balance between pavement performance and sound absorption/noise-reduction effectiveness.

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Publication Details

Journal
Infrastructures
Published
2026-03-21
DOI
https://doi.org/10.3390/infrastructures11030108
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
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article

Grading Design and Performance Evaluation of Porous Asphalt Mixture: A Synergistic Optimization of Pavement Performance and Sound Absorption

Jinpeng Zhu, Yi Lu, Wenke Yan, Shengxu Wang et al.
Infrastructures
Asphalt Pavement Performance Evaluation
article

Grading Design and Performance Evaluation of Porous Asphalt Mixture: A Synergistic Optimization of Pavement Performance and Sound Absorption

Jinpeng Zhu, Yi Lu, Wenke Yan, Shengxu Wang, Peng Lu, Shiqi Xie, Mulian Zheng
article en

Abstract

To address the current absence of targeted gradation design for porous asphalt pavements both domestically and internationally, this study employs the Coarse Aggregate Void Filling (CAVF) method to design the gradation of porous asphalt mixtures. Marshall stability tests, rutting tests, and scattering tests were conducted to investigate the relationship between coarse aggregate proportions and the structural stability of the mixture skeleton. An orthogonal experimental design was further utilized to examine the influence of three levels of fine aggregate gradation on the acoustic absorption characteristics of the mixture, and to analyze the effects of aggregate gradation on the primary pore diameter, connected pore diameter, and connected pore length. The results indicate that the coarse aggregate gradation predominantly governs the skeleton strength and overall pavement performance of the mixture, whereas the fine aggregate gradation exhibits significant effects on the interconnected void ratio, pore structure, and sound absorption performance. The optimal roughness range of coarse aggregates in porous asphalt mixtures is determined to be 0.46–0.52. The proportion of 0.6–1.18 mm aggregates has a pronounced influence on the primary pore diameter, connected pore diameter, and connected pore length. By integrating the design considerations for both coarse and fine aggregate gradations, a recommended gradation range for porous asphalt mixtures is proposed that achieves a balance between pavement performance and sound absorption/noise-reduction effectiveness.

InfrastructuresVol. 11(3)
Chang'an University (CN), Detection Limit (United States) (US)
Openalex Percentile: Top 11%
Asphalt Pavement Performance Evaluation
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