Abstract
The potential of using compaction meter value (CMV) for evaluating the compaction of asphalt pavements has been hindered by the fact that the value of CMV can be affected by many factors, which include not only roller operation parameters, but also the temperature of asphalt layer and the underlying support. However, the conventional data processing of CMV usually ignores these factors. The study proposed a new approach to thoroughly examine the relationships between CMV and other factors. Using a field project in Tennessee, USA, the intelligent compaction data were examined to establish the relationships between CMV and other operation parameters such as roller frequency and amplitude first, then the effects of asphalt temperature and underlying support were analysed further utilising the original Witczak model and Abaqus software. After eliminating the influence of other factors, the proposed method could improve the correlation between the asphalt mixture density and CMV.
Acknowledgment
The researchers would also like to acknowledge the assistance from staff and engineers of TDOT, IC roller vendors and construction contractors. The authors are responsible for the facts and the accuracy of the data presented in the paper, and the contents of this paper do not necessarily reflect the official views or policies of the TDOT, nor constitute a standard, specification, or regulation.