设计、施工、监测

基于特征粒径的不同刀间距下滚刀最优贯入度分析

  • 翟淑芳 ,
  • 岳奇超 ,
  • 周小雄 ,
  • 宋英杰 ,
  • 龚秋明
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  • 1.河南工业大学 土木工程学院,郑州 450001;
    2.河南省现代绿色生态仓储体系国际联合实验室,郑州 450001;
    3.重庆交通大学 土木工程学院,重庆 400000;
    4.北京工业大学 城市防灾与减灾教育部重点实验室,北京 100124
翟淑芳(1989—),女,河南焦作人,博士,副教授,主要从事 TBM 破岩机制方面的研究工作。E-mail: zhaishufangcqu@126.com
周小雄(1991—),男,湖北监利人,博士,讲师,主要从事TBM智能化施工方面的研究与教学工作。E-mail:zhouxiaoxiong@cqjtu.edu.cn

收稿日期: 2024-11-14

  网络出版日期: 2025-09-03

基金资助

河南省科技攻关项目(212102210228,232102320014);河南工业大学青年骨干教师培育计划(21420101)

Optimal Penetration Analysis of Disc Cutter under Different Cutter-Spacings Based on Characteristic Particle Size

  • Zhai Shufang ,
  • Yue Qichao ,
  • Zhou Xiaoxiong ,
  • Song Yingjie ,
  • Gong Qiuming
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  • 1. College of Civil Engineering, Henan University of Technology, Zhengzhou 450000, P.R. China;
    2. Henan International Joint Laboratory of Modern Green Ecological Storage System, Zhengzhou 450000, P.R. China;
    3. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400000, P.R. China;
    4. Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, P.R. China

Received date: 2024-11-14

  Online published: 2025-09-03

摘要

全断面隧道掘进机(TBM)广泛应用于隧道施工,其掘进效率主要受刀盘刀具布置形式和施工参数的影响,其中滚刀间距设计是否合理、贯入度设置是否合适是影响破岩效率最重要的两个方面。岩碴作为滚刀破岩的直接产物,可以综合且直观地反馈 TBM 破岩效率。通过花岗岩切割试验的岩屑形貌分析,揭示了岩碴粒度分布与破岩效率的关联机制。基于特征粒径理论预测最优贯入度,经多工况验证得出:刀间距为60~70 mm最优贯入度为2.0 mm,刀间距80 mm为 2.5 mm,刀间距90~100 mm为3.0 mm;当刀间距与贯入度的比值处于30~40区间时,岩屑特征粒径达到峰值,对应破岩效率最优;可根据实时监测的岩屑粒径特征,动态优化调整掘进参数组合,实现刀间距与贯入度的科学匹配。

本文引用格式

翟淑芳 , 岳奇超 , 周小雄 , 宋英杰 , 龚秋明 . 基于特征粒径的不同刀间距下滚刀最优贯入度分析[J]. 地下空间与工程学报, 2025 , 21(4) : 1306 -1312 . DOI: 10.20174/j.JUSE.2025.04.22

Abstract

Tunnel boring machine (TBM) is widely used in tunnel construction. The boring efficiency is mainly affected by the cutter arrangement and construction parameters, in which the cutter spacing is designed to be reasonable and whether the penetration degree is set to be appropriate are the most important two aspects impacting the efficiency of rock breaking. As a direct product of rock breaking by cutter, rock ballast can provide comprehensive and intuitive feedback on the rock-breaking efficiency of TBM. The correlation mechanism between ballast particle size distribution and rock breaking efficiency is revealed by analyzing the rock chip morphology of granite cutting test. Based on the theory of characteristic particle size to predict the optimal penetration, it is verified by multiple working conditions that: The optimal penetration is 2.0 mm for cutter spacing of 60~70 mm, 2.5 mm for cutter spacing of 80 mm, and 3.0 mm for cutter spacing of 90~100 mm, and the characteristic particle size of the rock chips reaches the peak when the ratio of the cutter spacing to the penetration is in the range of 30~40, corresponding to the optimal efficiency of rock-breaking. It can dynamically optimize and adjust the combination of boring parameters according to the real-time monitoring of the characteristics of the rock chip particle size, and realize the scientific matching of the knife spacing and penetration.

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