Establishing a mesoscale model of asphalt concrete is significantly challenging due to its inherent heterogeneity and high proportion of aggregates. Initially, a novel approach for systematically quantifying aggregate morphology by integrating both form scaling and spherical harmonic (SH) modeling is formulated. The proposed method excels in decomposing aggregate morphology at diverse length scales and accurately quantifying non-star-like and flat aggregates. Subsequently, Principal Component Analysis (PCA) is performed on the quantified morphology parameters to produce sufficient virtual aggregates with similar morphology to the real ones. Finally, the robust Bullet physics engine is employed to compact the generated aggregates, which can develop an aggregate packing structure closely resembling real asphalt concrete. Besides, the aggregate morphology and gradation of the generated packing structure can be effectively controlled. Through additional geometry and mesh processing, high-fidelity mesoscale models of asphalt concrete can be generated. This novel strategy lays the foundation for further mechanical modeling on asphalt concrete.

中文翻译：

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生成具有可控骨料形态和堆积结构的中尺度沥青混凝土模型的新策略

由于沥青混凝土固有的非均质性和高骨料比例，建立沥青混凝土的介观模型具有很大的挑战性。最初，制定了一种通过整合形状缩放和球谐（SH）建模来系统量化聚集体形态的新方法。该方法擅长分解不同长度尺度的聚集体形态，并准确量化非星状和扁平聚集体。随后，对量化的形态参数进行主成分分析（PCA），以产生足够的虚拟聚集体，其形态与真实聚集体相似。最后，采用强大的 Bullet 物理引擎来压实生成的骨料，从而形成与真实沥青混凝土非常相似的骨料堆积结构。此外，可以有效控制生成的堆积结构的聚集体形态和级配。通过额外的几何和网格处理，可以生成沥青混凝土的高保真介观模型。这种新颖的策略为沥青混凝土的进一步力学建模奠定了基础。