Evaluation of intelligent compaction for asphalt materials

This paper aims to evaluate the effectiveness of IC technology for the asphalt compaction. A framework of field construction and in-situ test control using IC technology was presented and implemented in one engineering project. A computer-aided data analysis method was proposed and implemented, including the univariate and geo-statistics, compaction curve and uniformity. Results show that IC technology can effectively improve the roller patter to achieve more uniform compaction, and the compaction curve identifies the optimum roller pass to help avoid under/over compaction. The trend of Sakai Compaction Control Value (CCV) – a relative index of material stiffness – is consistent with CCV from mapping the underlying subbase layer. This indicates the reflecting effect of underneath layers on upper layers. CCVs from asphalt compaction have a linear relationship with the light-weight-deflectometer moduli of subbase. The compaction uniformity trends indicated by univariate statistics are consistent with that indicated by semivariograms for this case study.

Figure optionsDownload as PowerPoint slideHighlights
► We proposed a data analysis method and implemented in developed software.
► Construction control framework for IC on asphalt is discussed for industry practice.
► The effectiveness of IC technology for asphalt materials is evaluated.
► The compaction curve identifies optimum roller pass to help improve compaction.
► Semivariogram and COV attain consistent trends for compaction uniformity.