Vibration is a crucial step in slipform paving during construction; however, the specific usage scenarios have led to an unclear understanding of the relationship between vibratory energy input and the quality of concrete consolidation. Thus, developing a comprehensive evaluation system to assess and characterize the vibratory behavior in slipform paving would facilitate the creation of practical guidelines for optimizing the paving process under various conditions. This study explores how vibration energy affects the distribution of air, coarse aggregate, and mortar of concrete as well as providing a frame for homogeneity assessment. Initially, the study models the mechanical response of coarse aggregate to vibration energy during slipform paving, utilizing paver consolidation simulation (PaCS). The coarse aggregate is recognized and segmented with advanced computer vision techniques. Subsequently, "virtual aggregates" resembling real aggregates in morphology were generated using spherical harmonic expansion and random fields and reconstruct mesoscale model using discrete element simulation to model the optimal spatial distribution of aggregates. Then, the outcomes from concrete paving simulation experiments and numerical simulations are compared to establish a model explicitly correlating vibration energy input with concrete consolidation quality.