Characterization of Residual Moisture Distribution in Cold-Recycled Mixtures with Foamed Asphalt Using Hyperspectral Technology
Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 11
Abstract
Cold-recycling technology with foamed asphalt is used widely because it has the incomparable advantages of environmental protection and resource conservation. In this study, cold-recycled mixtures with foamed asphalt were prepared with different gradation types, mixing water contents, and curing times to study the distribution characteristics of residual moisture. An optimum foaming water content of 2.5% and foaming temperature of 165°C were determined for producing the foamed asphalt that was used for the cold-recycled asphalt mixtures. Hyperspectral imaging tests and spectral processing technology were used to obtain the image information and spectral information of residual moisture from 44 specimens; the moisture content of all specimens ranged from 0.25% to 4.70%. Pseudocolor-coding technology was utilized to realize visualization of moisture distribution. In addition, the residual moisture content prediction model was established based on the partial least-squares regression (PLSR) model. Correlations of the residual moisture distribution characteristics and moisture damage resistance evaluation indicators were developed. The residual moisture distribution characteristics and moisture damage resistance are affected significantly by aggregate gradations, mixed water content, and curing time. After 3 days of curing, the strength of the recycled mixture tends to be stable, and the moisture damage resistance can reach the specification requirements, and is suitable for open traffic. It was confirmed that there is a certain correlation between the internal residual moisture content value distribution range and the moisture damage resistance of the cold-recycled mixtures with foamed asphalt. This study could contribute to a better application of cold-recycled asphalt pavement for environmental protection and carbon stabilization.
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Data Availability Statement
All the experimental raw data used in this manuscript are available from the corresponding author.
Acknowledgments
The authors acknowledge the financial support from the Industry–University Research Collaboration Project of Jiangsu Province (Grant No. BY2021313), the Natural Science Foundation of China (Grant No. 52108408), the Natural Science Foundation of Jiangsu Province (Grant No. BK20210617), and Training Plan Project for Young Core Teachers of Nanjing Forestry University.
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History
Received: Oct 20, 2021
Accepted: Feb 25, 2022
Published online: Aug 22, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 22, 2023
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