尤明龙;谭飞;焦玉勇;涂福彬;田湖南;

• 1:中国地质大学(武汉)工程学院
• 2:中国科学院武汉岩土力学研究所

摘要(Abstract)：

为分析凿岩机钻头的破岩机理，提高破岩效率，预测掘进岩体的等级，运用离散元方法对凿岩机钻头的破岩过程进行分析。模拟了不同级别围岩、不同地应力条件下的破岩过程，得到了不同类型围岩下的钻进破岩力及其破岩比功。对影响岩体等级的岩体主要参数进行敏感性分析，得到了峰值破岩力和均值破岩比功与岩体单轴抗压强度的关系、岩体单轴抗压强度与场切深指数（field penetration index, FPI）的关系。通过FPI值的范围对岩体进行可掘性预测和围岩质量分级。研究成果可为实际工程使用凿岩机开挖过程中的岩体可掘性评价及围岩动态分级提供一定参考。

关键词(KeyWords)： 凿岩机;破岩机理;岩体分级;岩体可掘性;离散元

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目（编号：51879245）

作者(Authors): 尤明龙;谭飞;焦玉勇;涂福彬;田湖南;

DOI: 10.14188/j.1671-8844.2023-02-004

参考文献(References)：

• [1]张云冬,王浩,张国华.山岭隧道围岩分级超前预报新方法研究[J].武汉理工大学学报(交通科学与工程版),2016,40(1):131-135.Zhang Yundong, Wang Hao, Zhang Guohua. New forecast method of surround rock classification of mountain tunnel[J]. Journal of Wuhan University of Technology(Transportation Science&Engineering),2016,40(1):131-135.
• [2]吴鑫林,张晓平,刘泉声,等.TBM岩体可掘性预测及其分级研究[J].岩土力学,2020,41(5):1721-1729.Wu Xinlin, Zhang Xiaoping, Liu Quansheng, et al.Prediction and classification of rock mass boreability in TBM tunnel[J]. Rock and Soil Mechanics,2020,41(5):1721-1729.
• [3] Gong Q M, Zhao J, Jiao Y Y. Numerical modeling of the effects of joint orientation on rock fragmentation by TBM cutters[J]. Tunnelling and Underground Space Technology,2005,20(2):183-191.
• [4]孙金山,陈明,陈保国,等.TBM滚刀破岩过程影响因素数值模拟研究[J].岩土力学,2011,32(6):1891-1897.Sun Jinshan, Chen Ming, Chen Baoguo, et al. Numerical simulaiton of influence factors for rock fragmentation by TBM cutters[J]. Rock and Soil Mechanics,2011,32(6):1891-1897.
• [5]谭青,易念恩,夏毅敏,等.TBM滚刀破岩动态特性与最优刀间距研究[J].岩石力学与工程学报,2012,31(12):2453-2464.Tan Qing, Yi Nianen, Xia Yimin, et al. Research on rock dynamic fragmentation characteristics by TBM cutters and cutter spacing optimization[J]. Chinese Journal of Rock Mechanics and Engineering,2012,31(12):2453-2464.
• [6]徐孜军,谭青,夏毅敏,等.盾构切刀顺次破岩机制的数值模拟研究[J].岩土力学,2013,34(12):3625-3632.Xu Zijun, Tan Qing, Xia Yimin, et al. Research on numerical simulation of sequential fragmentation mechanism of shield machine cutters[J]. Rock and Soil Mechanics,2013,34(12):3625-3632.
• [7]张强,索江伟,王海舰,等.基于ABAQUS的凿岩机钻头破岩数值模拟分析[J].振动与冲击, 2018, 37(1):136-141.Zhang Qiang, Suo Jiangwei, Wang Haijian, et al.Numerical simulation analysis on the drill bit rock breaking process based on ABAQUS[J]. Journal of Vibration and Shock,2018,37(1):136-141.
• [8] Sapigni M, Berti M, Bethaz E, et al. TBM performance estimation using rock mass classifications[J]. International Journal of Rock Mechanics and Mining Sciences,2002,39(6):771-788.
• [9]刘泉声,刘建平,潘玉丛,等.硬岩隧道掘进机性能预测模型研究进展[J].岩石力学与工程学报,2016,35(S1):2766-2786.Liu Quansheng, Liu Jianping, Pan Yucong, et al.Research advances of tunnel boring machine performance prediction models for hard rock[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(S1):2766-2786.
• [10]薛亚东,李兴,刁振兴,等.基于掘进性能的TBM施工围岩综合分级方法[J].岩石力学与工程学报,2018,37(S1):3382-3391.Xue Yadong, Li Xing, Diao Zhenxing, et al. A novel classification method of rock mass for TBM tunnel based on penetration performance[J]. Chinese Journal of Rock Mechanics and Engineering, 2018, 37(S1):3382-3391.
• [11]杨迎新,高翔,陈红,等.PDC钻头岩石可钻性测定与分级新方法研究[J].地下空间与工程学报,2019,15(3):811-819.Yang Yingxin, Gao Xiang, Chen Hong, et al. A new method for measuring and grading of PDC bit rock drillability[J]. Chinese Journal of Underground Space and Engineering,2019,15(3):811-819.
• [12]李克金,李文,张德文,等.基于空腔膨胀理论的TBM滚刀破岩模型研究[J].武汉大学学报(工学版),2020,53(7):583-590.Li Kejin, Li Wen, Zhang Dewen, et al. Study on rock breakage model of TBM disc cutter based on cavity expansion theory[J]. Engineering Journal of Wuhan University,2020,53(7):583-590.
• [13]中华人民共和国住房和城乡建设部. GB/T 50218-2014工程岩体分级标准[S].北京:中国计划出版社,2015.Ministry of Housing and Urban-Rural Development of the People′s Republic of China. GB/T 50218-2014Standard for Engineering Classification of Rock Mass[S]. Beijing:China Planning Press,2015.
• [14] Potyondy D O, Cundall P A. A bonded-particle model for rock[J]. International Journal of Rock Mechanics and Mining Sciences,2004,41(8):1329-1364.
• [15]苏利军,孙金山,卢文波.基于颗粒流模型的TBM滚刀破岩过程数值模拟研究[J].岩土力学,2009,30(9):2823-2829.Su Lijun, Sun Jinshan, Lu Wenbo. Research on numerical simulation of rock fragmentation by TBM cutters using particle flow method[J]. Rock and Soil Mechanics,2009,30(9):2823-2829.
• [16]姜清辉,吴益民.两点应变测量法和岩石力——凿深特性的实验研究[J].武汉大学学报(工学版),2003,36(5):22-25.Jiang Qinghui, Wu Yimin. Experimental study on method for determination of force-penetration relation from two-point strain measurement[J]. Engineering Journal of Wuhan University.2003,36(5):22-25.
• [17]杜立杰,齐志冲,韩小亮,等.基于现场数据的TBM可掘性和掘进性能预测方法[J].煤炭学报,2015,40(6):1284-1289.Du Lijie, Qi Zhichong, Han Xiaoliang, et al. Prediction method for the boreability and performance of hard rock TBM based on boring data on site[J]. Journal of China Coal Society,2015,40(6):1284-1289.
• [18] Klein S, Schmoll M, Avery T. TBM performance at four hard rock tunnels in California[C]//Rapid Excavation and Tunnelling Conference, San Francisco, CA,1995:61-75.