压实
水泥
骨料(复合)
岩土工程
材料科学
复合材料
工程类
作者
Ning Wang,Qiang Li,Jiaqing Wang
摘要
<div class="section abstract"><div class="htmlview paragraph">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.</div></div>
科研通智能强力驱动
Strongly Powered by AbleSci AI