Zhang Zhi, Dan Hancheng, Shan Hongyu, Li Songlin
School of Civil Engineering, Central South University, Changsha 410075, China.
Materials (Basel). 2024 Jun 5;17(11):2764. doi: 10.3390/ma17112764.
The compaction of asphalt pavement is a crucial step to ensure its service life. Although intelligent compaction technology can monitor compaction quality in real time, its application to individual asphalt surface courses still faces limitations. Therefore, it is necessary to study the compaction mechanism of asphalt pavements from the particle level to optimize intelligent compaction technology. This study constructed an asphalt pavement compaction model using the Discrete Element Method (DEM). First, the changes in pavement smoothness during the compaction process were analyzed. Second, the changes in the angular velocity of the mixture and the triaxial angular velocity (TAV) of the mortar, aggregates, and mixture during vibratory compaction were examined. Finally, the correlations between the TAV amplitude and the coordination number (CN) amplitude with the compaction degree of the mixture were investigated. This study found that vibratory compaction can significantly reduce asymmetric wave deformation, improving pavement smoothness. The mixture primarily rotates in the vertical plane during the first six passes of vibratory compaction and within the horizontal plane during the seventh pass. Additionally, TAV reveals the three-dimensional dynamic rotation characteristics of the particles, and the linear relationship between its amplitude and the pavement compaction degree aids in controlling the compaction quality of asphalt pavements. Finally, the linear relationship between CN amplitude and pavement compaction degree can predict the stability of the aggregate structure. This study significantly enhances quality control in pavement compaction and advances intelligent compaction technology development.
沥青路面的压实是确保其使用寿命的关键步骤。尽管智能压实技术能够实时监测压实质量，但其在单个沥青面层中的应用仍面临局限性。因此，有必要从颗粒层面研究沥青路面的压实机理，以优化智能压实技术。本研究采用离散元法（DEM）构建了沥青路面压实模型。首先，分析了压实过程中路面平整度的变化。其次，研究了振动压实过程中混合料的角速度以及砂浆、集料和混合料的三轴角速度（TAV）的变化。最后，研究了TAV幅值和配位数（CN）幅值与混合料压实度之间的相关性。本研究发现，振动压实可显著减少非对称波变形，提高路面平整度。在振动压实的前六次过程中，混合料主要在垂直平面内旋转，而在第七次过程中则在水平平面内旋转。此外，TAV揭示了颗粒的三维动态旋转特性，其幅值与路面压实度之间的线性关系有助于控制沥青路面的压实质量。最后，CN幅值与路面压实度之间的线性关系可预测集料结构的稳定性。本研究显著加强了路面压实的质量控制，并推动了智能压实技术的发展。
