Although being widely used as the quality control for field compaction, neither the standard nor modified Proctor tests match the compaction effort of existing field compaction machineries commonly used today. More importantly, these methods are incapable of identifying the compactability of soil materials other than maximum dry density and optimum moisture content. With the widespread application of intelligent compaction (IC), there is a need to develop a new laboratory compaction method for soil and aggregate materials in which a detailed compaction process could be visualized or quantified. In this study, a lab scale vibratory compactor, asphalt vibratory compactor (AVC), was adopted to compact an aggregate base material with a mounted accelerometer. Based on dry density-moisture content curves, the AVC compaction was more effective in compacting cohesionless soils than the standard Proctor test, and there existed an optimum AVC parameter setting to acquire the highest dry density of aggregates as well as more stable frequency spectrums. In addition, by using the discrete-time Fourier transform the lab compaction process could be visualized through the frequency-domain spectrums. Two IC parameters, Compaction Meter Value (CMV) and the Compaction Control Values (CCV), were calculated for specimens at different water content. The CCV value had a more stable pattern and two distinct compaction stages could be identified for the lab compaction, which could be used to construct the lab compaction curve. Based on the lab compaction curves, AVC has the potential to identify the moisture content and compactability of soil materials and to guide the field compaction.

尽管已广泛用作现场压实的质量控制，但标准测试和改进的Proctor测试都无法与当今常用的现有现场压实机械的压实效果相提并论。更重要的是，这些方法除了最大干密度和最佳水分含量外，无法确定土壤材料的压实性。随着智能压实（IC）的广泛应用，需要开发一种用于土壤和骨料的新型实验室压实方法，其中可以可视化或量化详细的压实过程。在这项研究中，采用了实验室规模的振动压实机，沥青振动压实机（AVC），通过安装的加速度计压实集料基础材料。根据干密度-水分含量曲线，AVC压实比标准Proctor试验更能有效压实无粘性的土壤，并且存在最佳的AVC参数设置，可获取最高的骨料干密度以及更稳定的频谱。另外，通过使用离散时间傅立叶变换，实验室压实过程可以通过频域频谱可视化。对于不同含水量的样品，计算了两个IC参数，即压实度计值（CMV）和压实度控制值（CCV）。CCV值具有更稳定的模式，可以为实验室压实确定两个不同的压实阶段，这些阶段可用于构建实验室压实曲线。根据实验室的压实曲线，