<p>The air-void structure is a critical factor influencing the durability of concrete. This study employs CT technology to compute the void structure parameters of air-entrained concrete and establishes a simulated concrete void system that accurately reflects true distribution patterns. The research focuses on the face slab concrete of concrete face rockfill dams, utilizing CT scans to obtain full cross-sectional images of air-entrained concrete. It extracts the actual void system of the concrete through image segmentation and three-dimensional reconstruction. Sphericity is applied to filter the dataset for analysis, eliminating interference from voids caused by cracks and excess water. The distribution of void spacing is analyzed using void-void nearest neighbor analysis while accounting for the influence of aggregate obstruction. The study indicated that the nearest neighbor distribution of air voids follows a log-normal distribution. The virtual void system developed through this method aligns closely with the actual void distribution of concrete, as evidenced by a comparison to the actual concrete void system. This approach can be further utilized in calculating concrete durability and mechanical properties where void distribution plays a significant role.</p>