基于智能优化方法的隧道排版技术研究 postprint

Abstract: Segment assembly is a critical process in shield tunneling, where the accuracy and efficiency of segment layout design significantly impact construction quality. Traditional methods relying on manual experience and mathematical formulas suffer from low precision and inefficiency. To address these limitations, this study proposes an optimized segment layout model based on assembly posture, incorporating modern optimization techniques.Taking a metro shield tunneling project as a case study, we investigate the performance and stability of the Simulated Annealing (SA) method and the Greedy-Simulated Annealing (GSA) hybrid method under different hyperparameters using a grid search approach. The results demonstrate that:1)The SA method achieves effective optimization under appropriate conditions, with the optimal solution improving the objective function value by 23% compared to traditional methods.2)The SA method exhibits sensitivity to initial solutions, which can be categorized into three types based on convergence behavior: fluctuating-decreasing, fluctuating-stable, and stable.3)In terms of layout optimization performance: SA > GSA > Greedy Algorithm (traditional method). However, the GSA method demonstrates superior stability over SA in terms of solution distribution.The findings provide a reference for segment layout design, enabling the selection of appropriate algorithms under varying conditions. This research contributes to enhancing the precision and efficiency of shield tunneling construction.