Assessment of Intelligent Compaction Quality Evaluation Index and Uniformity
Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 148, Issue 2
Abstract
Compaction Measurement Value (CMV) is the most widely used quality evaluation index for intelligent compaction. However, with the growth of compaction degree, CMV becomes less accurate due to increased reaction force from densified geomaterials. To solve this problem, this paper proposes a more accurate intelligent compaction quality evaluation index, acceleration intelligent compaction value (AICV). Based on field measurement data analysis, AICV turned out to be effective to elevate quality evaluation accuracy. Additionally, the singularities were detected by normal distribution in order to assess the uniformity of subgrade compaction quality. Based on the semivariogram analysis method of spatial statistics, CMV and AICV were analyzed for spatial correlation, and the influence range of intelligent compaction technology employed for subgrade was evaluated. The results from this study provide a basis for further research on precision control and uniformity analysis of intelligent compaction technology.
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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 (No. 2020YFB1600102), the National Natural Science Foundation of China (Nos. 51878164 and 51922030), Southeast University “Zhongying Young Scholars” Project, Department of Transportation of Shandong Province (No. 2018B51), Jiangsu transportation science and technology project by Huai’an Highway Administration Office, and Technology Development Project of China Road and Bridge Engineering Co., Ltd. The authors greatly appreciate all the support from these agencies.
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Information & Authors
Information
Published In
Journal of Transportation Engineering, Part B: Pavements
Volume 148 • Issue 2 • June 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jul 9, 2021
Accepted: Jan 14, 2022
Published online: Mar 21, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 21, 2022
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