Abstract

Compaction is a critical step in the construction of an asphalt mixture. To effectively compact an asphalt mixture, the locking point, which identifies the effective compaction, was introduced based on the change in volumes of the asphalt mixture during gyratory compaction. However, the existing definition of the locking point is solely dependent on the volumetric properties of compacted mixtures and may not be necessarily associated with the skeleton of the mixture. In this paper, the locking point for a compacted asphalt mixture was defined and determined using dynamic responses measured by a particle sensor. Gyratory compaction and field compaction tests were carried out with particle sensors embedded to analyze the evolution of the aggregates’ dynamic responses. Then, a novel dynamic response rate of the change index Rs was proposed to represent the evolution process of the asphalt mixture compaction. The Superpave gyratory compactor (SGC) results show that the acceleration and rotation angle of the particle sensors varied during compaction and did not converge in the end. The SGC compaction process can be divided into three stages: the initial compaction stage, transition stage, and plateau stage based on the rate of stress (Rs). Meanwhile, the inflection point between the transition stage and plateau stage in the compaction curve was defined as the locking point. It was found that the locking point determined by the sensors in the middle of the compacted specimens was later than that determined by the gyratory compaction. The contact interlocking initiated at the bottom of a compacted specimen and moved upward. The field compaction test results of the particle sensors showed that the contact stress also had a significant trend of convergence after being compacted by a pneumatic-tired roller, which indicates that the test stress index based on the particle sensors could be used for the evaluation of compaction quality.

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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.

Acknowledgments

The authors would like to acknowledge the project support by Shanghai Housing and Urban-Rural Construction Management Commission (2023-002-051). Technical support from the University of Tennessee and Tennessee Department of Transportation are greatly appreciated. All laboratory experiments were completed by the staffs in engineering and technology center of the Shanghai Road and Bridge Group Co. LTD. Last, the content of this paper only reflects the views of the authors, who are responsible for the facts and accuracy of the data presented herein.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 36Issue 10October 2024

History

Received: Sep 12, 2023
Accepted: Jan 30, 2024
Published online: Jul 23, 2024
Published in print: Oct 1, 2024
Discussion open until: Dec 23, 2024

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Zhiqiang Cheng [email protected]
Director, Shanghai Road and Bridge Group Co. Ltd., No. 36 Guoke Rd., Wujiaochang St., Yangpu District, Shanghai 200433, PR China. Email: [email protected]
Engineer, Shanghai Road and Bridge Group Co. Ltd., No. 36 Guoke Rd., Wujiaochang St., Yangpu District, Shanghai 200433, PR China. ORCID: https://orcid.org/0000-0001-5394-4871. Email: [email protected]
Engineer, Shanghai Engineering Research Center of Green Pavement Materials, No. 36 Guoke Rd., Wujiaochang St., Yangpu District, Shanghai 200433, PR China. ORCID: https://orcid.org/0000-0003-1477-2557. Email: [email protected]
Xiaoyang Jia [email protected]
Project Manager, Tennessee Dept. of Transportation, 505 Deaderick St., Nashville, TN 37243. Email: [email protected]
Assistant Professor, Dept. of Highway and Railway Engineering, School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, PR China. Email: [email protected]
Yuetan Ma, S.M.ASCE [email protected]
Professor, School of Traffic and Transportation Engineering, National Engineering Research Center of Highway Maintenance Technology, Changsha Univ. of Science and Technology, Changsha 410114, China. Email: [email protected]
Edwin G. Burdette Professor, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, 851 Neyland Dr., Knoxville, TN 37996 (corresponding author). ORCID: https://orcid.org/0000-0001-8551-0082. Email: [email protected]

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