Monitoring changes in pavement material compaction degree and analyzing the
interaction mechanism between particles are essential for improving compaction
quality. In this paper, an on-site intelligent compaction test was carried out
using intelligent sensor, the correlation between the in-situ test results and
the intelligent compaction measurement value (ICMV) was written, and the
influences of moisture content on the correlations were discussed. Further, the
gyratory compaction tests were carried out using smart aggregate (SA) sensors to
investigate the characteristics of the sensing results during the gyratory
compaction of mixtures with different moisture contents, revealing the
interaction mechanism between particles. Finally, the compaction characteristic
indexes CEI, CDI and CSI were proposed using the SA sensing results, which were
used to characterize the flow, compaction degree and stability characteristics
of the mixtures, respectively. The conclusions of the study are of great
significance for optimizing the compaction process and improving the compaction
efficiency; meanwhile, it is helpful for revealing the interaction mechanism
between particles under the compaction load.