Abstract

Gradation information can be really useful when evaluating the performance of pavement, especially when the local climate condition or traffic volume have special requirements on gradations of asphalt pavement. However, due to poor management or long construction time, it may be difficult to accurately acquire the asphalt gradation type on site. To solve this problem, this study aimed to analyze the grading characteristics of both asphalt concrete (AC) and stone matrix asphalt (SMA) mixtures through statistics and to propose a quantitative indicator that could distinguish them rapidly. Methodologically, passing rate difference (PRD) between two adjacent sieve sizes was used to characterize the gradation and to distinguish AC from SMA. Five sieve sizes were considered in this study, namely, 16 mm, 13.2 mm, 9.5 mm, 4.75 mm, and 2.36 mm, and four PRDs were computed and analyzed. A total of 854 sets of gradation data were collected from 437 papers. To study the influence of nominal maximum particle size (NMPS), the data were further categorized into three types, namely, gradation data with NMPS of 16 mm, 13 mm, and regardless of NMPS. As a result, in all cases of NMPS, critical PRDs were determined to distinguish between SMA and AC mixtures. Moreover, when a critical PRD was determined, for a given gradation, the confidence level to correctly identify an AC gradation was generally higher regardless of NMPS.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request, including the data from Figs. 69, 11, and 12.

Acknowledgments

The authors gratefully acknowledge the financial supports of the National Natural Science Foundation of China under Grant No. 51861145402.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 34Issue 8August 2022

History

Received: Aug 2, 2021
Accepted: Dec 2, 2021
Published online: May 24, 2022
Published in print: Aug 1, 2022
Discussion open until: Oct 24, 2022

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Graduate Research Assistant, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China. ORCID: https://orcid.org/0000-0003-3122-2645. Email: [email protected]
Graduate Research Assistant, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China. ORCID: https://orcid.org/0000-0002-3120-5573. Email: [email protected]
Graduate Research Assistant, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China. ORCID: https://orcid.org/0000-0001-6232-8886. Email: [email protected]
Graduate Research Assistant, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China. Email: [email protected]
Feipeng Xiao, Ph.D., M.ASCE [email protected]
P.E.
Professor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China (corresponding author). Email: [email protected]

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