Yi Xingyu, Chen Huimin, Wang Houzhi, Tang Zhiyun, Yang Jun, Wang Haopeng
School of Transportation, Southeast University, Nanjing 210096, China.
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Materials (Basel). 2021 Oct 3;14(19):5786. doi: 10.3390/ma14195786.
In order to obtain more accurate parameters required for the simulation of asphalt mixtures in the discrete element method (DEM), this study carried out a series of cross-functional asphalt mixture experiments to obtain the DEM simulation meso-parameters. By comparing the results of simulation and actual experiments, a method to obtain the meso-parameters of the DEM simulation was proposed. In this method, the numerical aggregate profile was obtained by X-ray CT scanning and the 3D aggregate model was reconstructed in MIMICS. The linear contact parameters of the aggregate and the Burgers model parameters of the asphalt mastic were obtained by nanoindentation technology. The parameters of the parallel bonding model between the aggregate and mastic were determined by the macroscopic tensile adhesion test and shear bond test. The results showed that the meso-parameters obtained by the macroscopic experiment provide a basis for the calibration of DEM parameters to a certain extent. The trends in simulation results are similar to the macro test results. Therefore, the newly proposed method is feasible.
为了获得离散元法（DEM）模拟沥青混合料所需的更精确参数，本研究开展了一系列跨功能沥青混合料试验以获取DEM模拟细观参数。通过对比模拟结果与实际试验结果，提出了一种获取DEM模拟细观参数的方法。该方法通过X射线CT扫描获得数值集料轮廓，并在MIMICS中重建三维集料模型。通过纳米压痕技术获得集料的线性接触参数和沥青胶浆的Burgers模型参数。集料与胶浆之间平行粘结模型的参数通过宏观拉伸粘结试验和剪切粘结试验确定。结果表明，宏观试验获得的细观参数在一定程度上为DEM参数的校准提供了依据。模拟结果的趋势与宏观试验结果相似。因此，新提出的方法是可行的。
