Compaction is one of the most critical steps in asphalt pavement construction. Traditional compaction relies heavily on engineering experience and post-construction quality control and can lead to under/over compaction problems. The emerging intelligent compaction technology has improved compaction quality but is still not successful in obtaining mixture properties of a single pavement layer. Besides, very few studies have discussed the internal material responses during field and laboratory compaction to explain the meso-scale (i.e., particle scale) compaction mechanism. Knowledge in those areas may greatly promote the development of smart compaction. Therefore, this study aims to investigate the kinematic behavior of the asphalt mixture particles (translation and rotation) under six types of field and laboratory compaction methods and establish the relationship between the field and the laboratory compaction by using a real-time particle motion sensor, SmartRock. It was found that particle movement pattern was mainly affected by the compaction mode. At the meso-scale where particle behavior is the focus, the kneading effects of a pneumatic-tire roller can be simulated by laboratory gyratory and rolling wheel compaction, and the vibrating effects of a vibratory roller can be simulated by Marshall compaction. However, none of those laboratory compaction methods can completely simulate the field compaction. Under vibratory rolling, particle acceleration decreased fast in the breakdown rolling stage. Under pneumatic-tire rolling, particle angular position change was related to aggregate skeleton, and particle relative rotation showed a decreasing trend that was consistent with the laboratory gyratory compaction results. Those kinematic responses can potentially be used to monitor density change in field compaction.

压实是沥青路面施工中最关键的步骤之一。传统压实严重依赖于工程经验和施工后的质量控制，并可能导致压实不足/压实过度的问题。新兴的智能压实技术提高了压实质量，但在获得单个路面层的混合性能方面仍未成功。此外，很少有研究讨论田间和实验室压实过程中的内部材料响应，以解释中尺度（即颗粒尺度）的压实机理。这些领域的知识可能会极大地促进智能压实的发展。所以，本研究旨在研究沥青混合料颗粒在六种田间和实验室压实方法下的运动学行为（平移和旋转），并通过使用实时颗粒运动传感器SmartRock建立田间与实验室压实之间的关系。发现颗粒运动模式主要受压实模式影响。在以颗粒行为为重点的中尺度上，可以通过实验室旋转和滚轮压实来模拟充气轮胎辊的捏合效果，而可以通过马歇尔压实来模拟振动辊的振动效果。但是，这些实验室压实方法都无法完全模拟现场压实。在振动轧制过程中，在破碎轧制阶段，颗粒加速度迅速降低。在充气轮胎轧制过程中，颗粒角位置的变化与骨料骨架有关，颗粒相对旋转呈下降趋势，与实验室回旋压实结果一致。这些运动学响应可以潜在地用于监测现场压实过程中的密度变化。