A percolation theory-based approach for analyzing fluid flow mechanism in blanket pebble beds

• Develops an innovative percolation network model based on percolation theory. • Applies percolation theory to optimize purge schemes. • Demonstrates computational superiority of the percolation network model over traditional CFD approaches. Blanket pebble beds consist of numerous small-diameter particles, posing significant challenges for traditional simulation methods in terms of modeling accuracy and computational efficiency. To improve simulation performance and broaden research approaches, this study develops a percolation network model to analyze purge gas flow behavior within pebble beds. The model validity is confirmed through comparison with experimental data from the literature. Subsequently, the model is applied to simulate both pebble bed structure and fluid flow characteristics, enabling optimization of the purge gas system design. Compared to conventional methods, the percolation network model significantly enhances computational efficiency in fluid flow simulations. This work presents a novel research methodology and computational tool, demonstrating its potential for investigating transient purge gas flow mechanisms in blanket pebble beds