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隧道建设(中英文) ›› 2026, Vol. 46 ›› Issue (S1): 123-133.DOI: 10.3973/j.issn.2096-4498.2026.S1.010

• 研究与探索 • 上一篇    下一篇

基于改进CSM模型的盾构滚刀布局多目标优化

金明1, 王寿强2, *, 姚印彬2, 戴鹏1, 肖梁1   

  1. (1. 南京地铁建设有限责任公司, 江苏 南京 210017; 2. 中铁十四局集团有限公司, 山东 济南 250014)
  • 出版日期:2026-06-30 发布日期:2026-06-30
  • 作者简介:金明(1965—),男,江苏苏州人,1986年毕业于河海大学,水土结构专业,本科,高级工程师,现从事地铁建设管理工作。E-mail: 790249527@qq.com。*通信作者: 王寿强, E-mail: 476408611@qq.com。

Multi-Objective Optimization of Shield Disc Cutter Layout Based on an Improved Conical Shield Model

JIN Ming1, WANG Shouqiang2, *, YAO Yinbin2, DAI Peng1, XIAO Liang1   

  1. (1. Nanjing Metro Construction Co., Ltd., Nanjing 210017, Jiangsu, China; 2. China Railway 14th Bureau Group Co., Ltd., Jinan 250014, Shandong, China)
  • Online:2026-06-30 Published:2026-06-30

摘要: 滚刀布局是影响盾构掘进效率与刀具使用寿命的关键因素,为有效提升掘进过程中的刀盘运行稳定性,提出一类基于改进CSM(conical shield model)模型的盾构滚刀布局多目标优化建模与求解方法。将滚刀布局位置描述为刀具安装的极径和极角,考虑滚刀侧向力对刀盘稳定性的影响,引入改进CSM模型,设计刀盘的多维度受力分析框架,并构建总径向合力和倾覆力矩的计算模型。考虑刀盘质心位置偏移限制等约束条件,以最小化刀盘的总径向合力和最小化倾覆力矩为优化目标,建立盾构滚刀布局优化的非线性多目标优化模型。根据模型的计算复杂度,引入非支配解排序策略,设计基于粒子群算法的求解步骤。最后,结合南京地铁4号线的实际案例和仿真测试验证模型和算法的有效性。计算结果表明: 新建的模型和算法能够在531 s内为盾构滚刀布局提供多个有效方案,且保持一定的参数敏感性。相较于单目标优化方法,新方法求得的优化方案能够分别减少91%和99%的径向合力与倾覆力矩,在求解不同规模的优化问题时,具有较高的计算稳定性。相较于传统的布局方法,考虑侧向力的滚刀布局方案能够提升85.07%的刀盘稳定性。

关键词: 盾构, 滚刀布局, 改进CSM模型, 侧向力, 多目标优化, 粒子群算法

Abstract: The layout of disc cutters significantly influences tunneling efficiency and cutter service life in shield tunneling. To enhance cutterhead operational stability during tunneling, a multi-objective optimization framework for shield disc cutter layout based on an improved conical shield model (CSM) is proposed. Considering the positions of the disc cutters as the polar radius and polar angle, and incorporating the effect of lateral forces on cutterhead stability, an improved CSM model is developed to enable a comprehensive multidimensional force analysis of the cutterhead. Accordingly, the corresponding models are used to estimate the total radial force and overturning moment. Taking the allowable center-of-mass offset of the cutterhead and other constraints into consideration, a nonlinear multi-objective optimization model is formulated to simultaneously minimize the total radial force and overturning moment. In accordance with the computational complexity, a non-dominated sorting strategy is integrated into a particle swarm optimization algorithm to solve the problem efficiently. The proposed method is validated through a real-world application to the Nanjing Metro Line 4, supported by simulation testing. Results demonstrate that the model generates multiple feasible layout solutions within 531 seconds while maintaining acceptable parameter sensitivity. Compared with the single-objective optimization approach, the proposed method can reduce the total radial force and overturning moment by 91% and 99%, respectively. Furthermore, it exhibits strong computational robustness across optimization problems of varying scales. In comparison with the traditional layout method, the lateral-force-informed approach can improve the cutterhead stability by 85.07%.

Key words: shield, disc cutter layout, improved conical shield model, lateral force, multi-objective optimization, particle swarm optimization algorithm