Abstract
Intelligent compaction (IC) is a relatively new technology for asphalt paving industry. The present study evaluated the effectiveness and potential issues of the IC technology for flexible pavement resurfacing construction using two field projects. In the first project, a geostatistical semivariogram model was established and the parameters derived from it were compared with univariate statistical parameters for the Compaction Meter Value (CMV) data. Further analyses illustrated the effect of temperature on the CMV value and compaction uniformity. In the second project, a multivariate analysis was performed between in situ tests and IC data. The possibility of combining various IC data to predict the asphalt layer density and improve the current quality control and assurance system was discussed.
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Acknowledgements
This project was financially sponsored by the Tennessee Department of Transportation (TDOT) and the Federal Highway Administration (FHWA). The University of Tennessee researchers would also like to acknowledge the help and assistance from TDOT staffs and engineers, IC roller vendors, and construction contractors. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein, and do not necessarily reflect the official views or policies of the TDOT, nor do the contents constitute a standard, specification, or regulation.
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Hu, W., Shu, X., Huang, B. et al. Field investigation of intelligent compaction for hot mix asphalt resurfacing. Front. Struct. Civ. Eng. 11, 47–55 (2017). https://doi.org/10.1007/s11709-016-0362-x
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DOI: https://doi.org/10.1007/s11709-016-0362-x