含智能感知器件的沥青路面离散元建模数据
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为验证数值建模与完整试样模型力学性能的一致，对不含智能感知器件的沥青混凝土试样进行室内单轴压缩试验，得出纯沥青混凝土试样的应力-应变曲线。在PFC数值模型参数确定时，依据PFC中颗粒密度等细观力学参数与宏观物理性能指标的对应关系，对PFC细观参数进行调整，获得与目标沥青混凝土试件性能最匹配的细观参数，使其可以表现出试验试样真实的力学行为，确保数值模拟的准确性，对真实路面传感器进行简化模型处理，运用二维离散元模拟，将沥青应变计（工字型）、温湿盐传感器（爪型）、土压力计（圆盘）简化模拟为二维矩形结构，三维应力应变传感器（六面体型）简化模拟为规则梯形结构，分别作用埋深于沥青混凝土路面底层位置。
To verify the consistency of mechanical properties between numerical models and intact specimen models, indoor uniaxial compression tests were conducted on asphalt concrete specimens without intelligent sensing devices, and the stress-strain curves of pure asphalt concrete specimens were obtained. When determining the parameters of the PFC numerical model, the mesoscopic mechanical parameters (such as particle density in PFC) were adjusted based on the correspondence between these mesoscopic parameters and macroscopic physical performance indicators, so as to obtain the mesoscopic parameters that best match the performance of the target asphalt concrete specimen. This allows the model to reproduce the real mechanical behavior of the tested specimen and ensures the accuracy of numerical simulation. Simplified models were developed for real road sensors: using two-dimensional discrete element simulation, asphalt strain gauges (I-shaped), temperature-humidity-salt sensors (claw-shaped), and earth pressure cells (disc-shaped) were simplified into two-dimensional rectangular structures, while three-dimensional stress-strain sensors (hexahedral-shaped) were simplified into regular trapezoidal structures. These simplified sensors were respectively buried at the bottom layer of the asphalt concrete pavement.
