@article{7e57afa832ca42cd9c0ee502020d79f3,
title = "Investigating real-time monitoring indices of compaction quality from particle movement characteristics of distinctly-graded unbound aggregate materials subjected to vibratory compaction",
abstract = "The compaction quality greatly affects the in-service performance of unbound aggregate materials (UAMs); however, there still lack real-time, non-destructive, and effective indices for compaction quality assessment. This paper aimed to reveal meso-scale mechanisms of macroscopic vibratory compaction behavior and evaluate compaction quality from particle movement characteristics. A series of newly-developed laboratory vibratory plate compaction tests were conducted on UAM specimens of different gradations. The innovative self-powered, wireless sensors resembling realistic particles (termed as “SR sensors”) were placed inside UAM specimens to monitor three-dimensional (3D) particle accelerations and Euler angles during vibratory compaction. The effects of gradation and vibratory frequency on both macroscopic compaction behavior and meso-scale particle motion characteristics were analyzed. The results show that the entire vibratory compaction process can be divided into three distinct stages according to discernibly-staged particle movement patterns. The degree of compaction (DOC) of UAMs is significantly correlated with two novel particle-motion-based compaction quality indicators.",
keywords = "Automated intelligent compaction, Compaction quality, Particle movement, Unbound aggregate materials, Vibratory compaction",
author = "Wenjun Hua and Yuanjie Xiao and Qunding Yu and Meng Wang and Wenqi Li and Erol Tutumluer and Yuliang Chen and Zhiyong Li",
note = "This work was jointly supported by the National Natural Science Foundation of China ( 52178443 , U1934209 , 51878673 , U1734208 & 51808577 ), the National Key R&D Program of China ( 2019YFC1904704 ), the Key R&D Program of Chinese Academy of Railway Sciences ( 2020YJ022 & 2019YJ026 ), the Open Foundation of MOE Key Laboratory of Engineering Structures of Heavy Haul Railway (Central South University) ( 2022JZZ03 , 2021JZZ01 & 2021JZZ02 ), and the graduate free exploration project of Central South University ( 2021ZZTS0788 , 2021ZZTS0227 , 2021ZZTS0223 & 2022ZZTS0744 ). The technical assistance provided by Dr. Prof. Hai Huang (Penn State Altoona) and the STRDAL company was greatly appreciated. The computing resources provided by the High-Performance Computing Center of Central South University are gratefully acknowledged. This work was jointly supported by the National Natural Science Foundation of China (52178443, U1934209, 51878673, U1734208 & 51808577), the National Key R&D Program of China (2019YFC1904704), the Key R&D Program of Chinese Academy of Railway Sciences (2020YJ022 & 2019YJ026), the Open Foundation of MOE Key Laboratory of Engineering Structures of Heavy Haul Railway (Central South University) (2022JZZ03, 2021JZZ01 & 2021JZZ02), and the graduate free exploration project of Central South University (2021ZZTS0788, 2021ZZTS0227, 2021ZZTS0223 & 2022ZZTS0744). The technical assistance provided by Dr. Prof. Hai Huang (Penn State Altoona) and the STRDAL company was greatly appreciated. The computing resources provided by the High-Performance Computing Center of Central South University are gratefully acknowledged.",
year = "2023",
month = sep,
doi = "10.1016/j.trgeo.2023.101084",
language = "English (US)",
volume = "42",
journal = "Transportation Geotechnics",
issn = "2214-3912",
publisher = "Elsevier Ltd",
}