Investigation of Compacting Parameters on Intelligent Compaction Quality Based on Dynamic Model
Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 149, Issue 4
Abstract
To improve the efficiency and reliability of intelligent compaction technology, there is a need to evaluate the influencing factors during the compaction process. However, available research is limited, especially in terms of studies based on the dynamic theory. In this paper, the intelligent compaction process is divided into two stages: the compaction process stage, and the compaction completion stage. By establishing dynamic models for different compaction stages, the existing intelligent compaction dynamic model is modified to achieve refined modeling of the intelligent compaction process. The influencing weight of compacting parameters on intelligent compaction quality was analyzed by designing controlled tests. From the results of this study, it was found that roller weight affects the static compaction depth, whereas vibration force amplitude and frequency dominantly affect the amplitude of displacement period changes during compaction but are not predominant influences of the static compaction depth. The influence proportions of roller weight, vibration force amplitude, and vibration frequency on the final compaction quality were 82.62%, 4.92%, and 12.46%, respectively. In addition, a larger-tonnage vibratory roller and a larger vibration model with low frequency and high vibration force amplitude are suggested for compaction roadworks if rapid subgrade compaction is required. The research in this paper provides theoretical support for intelligent compaction technology so that intelligent compaction will become more applicable in practical engineering.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The study is financially supported by National Key Research and Development Project of China (Nos. 2020YFB1600102 and 2020YFA0714302).
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Information & Authors
Information
Published In
Journal of Transportation Engineering, Part B: Pavements
Volume 149 • Issue 4 • December 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Mar 26, 2023
Accepted: Jul 5, 2023
Published online: Aug 30, 2023
Published in print: Dec 1, 2023
Discussion open until: Jan 30, 2024
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