Exploration of Tunnel Boring Parameters and Construction Organization Synergistic Optimization

为提升隧道掘进效率并降低施工成本，本文提出了一种基于推进速度、推进力、资源利用率和施工成本的协同优化模型，结合数值模拟和现场监测对优化效果进行了验证。仿真与实测结果表明，优化后推进速度由2.5 m/h提升至3.0 m/h (+20%)，推进力稳定在720 kN (+20%)，资源利用率从75%提升至90% (+15%)，施工成本从5.5万元/米降至5.0万元/米(−9%)。研究中提出的关键技术包括推进速度实时优化、推进力动态反馈控制和资源调度优化，尤其在复杂地质条件下显著提升了施工效率，验证了协同优化模型的可靠性与实用性。本研究为隧道掘进施工的效率提升与成本控制提供了有力参考，并为智能化施工技术的发展奠定了基础。To enhance tunnel boring efficiency and reduce construction costs, this study proposes a synergistic optimization model based on propulsion speed, propulsion force, resource utilization, and construction cost. The optimization effectiveness is validated through numerical simulations and field monitoring. The simulation and empirical results indicate that, after optimization, the propulsion speed increased from 2.5 m/h to 3.0 m/h (+20%), the propulsion force stabilized at 720 kN (+20%), resource utilization improved from 75% to 90% (+15%), and construction cost decreased from 55,000 yuan/m to 50,000 yuan/m (−9%). The key technologies proposed in this study include real-time propulsion speed optimization, dynamic feedback control of propulsion force, and resource scheduling optimization. These techniques significantly enhance construction efficiency, particularly under complex geological conditions, and verify the reliability and applicability of the synergistic optimization model. This research provides valuable insights for improving tunnel boring efficiency and cost control, laying a foundation for the advancement of intelligent construction technology.