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闫长斌, 姜晓迪, 刘章恒, 杨继华, 苗栋. 基于岩碴粒径分布规律的TBM破岩效率分析[J]. 岩土工程学报, 2019, 41(3): 466-474. DOI: 10.11779/CJGE201903008
引用本文: 闫长斌, 姜晓迪, 刘章恒, 杨继华, 苗栋. 基于岩碴粒径分布规律的TBM破岩效率分析[J]. 岩土工程学报, 2019, 41(3): 466-474. DOI: 10.11779/CJGE201903008
YAN Chang-bin, JIANG Xiao-di, LIU Zhang-heng, YANG Ji-hua, MIAO Dong. Rock-breaking efficiency of TBM based on particle-size distribution of rock detritus[J]. Chinese Journal of Geotechnical Engineering, 2019, 41(3): 466-474. DOI: 10.11779/CJGE201903008
Citation: YAN Chang-bin, JIANG Xiao-di, LIU Zhang-heng, YANG Ji-hua, MIAO Dong. Rock-breaking efficiency of TBM based on particle-size distribution of rock detritus[J]. Chinese Journal of Geotechnical Engineering, 2019, 41(3): 466-474. DOI: 10.11779/CJGE201903008

基于岩碴粒径分布规律的TBM破岩效率分析

Rock-breaking efficiency of TBM based on particle-size distribution of rock detritus

  • 摘要: 岩碴的形状、大小及其粒径分布规律是综合反映TBM破岩效率的重要指标,也是TBM掘进参数与岩石性质的重要联系。根据盘形滚刀破岩机制,对TBM掘进岩碴进行了现场量测和筛分试验,获得了TBM岩碴尺寸特征和粒径分布规律。在此基础上,对实测岩碴尺寸和粒径分布数据进行了统计分析和理论分布函数拟合。分析了粗糙度指数与岩石强度、岩石耐磨性的关系,探讨了不同围岩等级下粗糙度指数随掘进推力的变化规律。研究结果表明:①片状岩碴的长轴与短轴之比约为1.5,而长轴与厚度之比则差别较大,其长轴、短轴和厚度均服从正态分布;②不同岩性条件下岩碴粒径分布均符合Rosin-Rammler函数分布;③岩碴粗糙度指数越大,TBM破岩效率越高;硬岩条件下岩碴粗糙度指数随单轴饱和抗压强度增大而减小,而中硬—软岩条件下则相反;④无论是软岩还是硬岩,岩碴粗糙度指数随岩石耐磨性增大而减小,岩石耐磨性越强,TBM破岩效率越低;⑤TBM破岩效率与围岩等级密切相关,可根据现场实测岩碴粒径分布规律,确定Ⅱ级和Ⅲ级围岩条件下TBM破岩效率最佳时的掘进推力区间。

     

    Abstract: The shape, particle size and its distribution of rock detritus are the key indexes to reflect the rock-breaking efficiency of TBM, and the important internal link between TBM tunneling parameters and rock properties as well. According to the rock-breaking mechanism of disk cutter, dimension measurements and sieving tests on the rock detritus cut by TBM are carried out, and the dimension characteristics and particle-size distribution of rock detritus are obtained. The statistic analysis and theoretical distribution function fitting are conducted based on the in-situ measured data of dimension and particle-size distribution of rock detritus. The relationships among coarseness index, strength and wear resistance index of rocks are analyzed. The variation laws of coarseness index with tunneling thrust under different surrounding rock classes are discussed. The research results show that the ratio of long axis to short axis of the rock chips is about 1.5, while that of long axis to thickness of the rock chips is quite different for diverse surrounding rocks. The probability distributions of rock chip dimension including long axis, short axis and thickness are subordinate to normal distribution. The particle-size distribution of rock detritus accords with that of Rosin-Rammler function under different rocks. The larger the coarseness index, the higher the rock-breaking efficiency of TBM. The coarseness index of rock detritus decreases with the increase of the uniaxial compressive strength of the rock under hard surrounding rocks, while the change law is contrary for the mid-hard and soft surrounding rocks. The coarseness index of rock detritus decreases with the increase of the wear resistance index of rocks whether the surrounding rocks are hard or soft. The stronger the wear resistance of rocks, the lower the rock-breaking efficiency of TBM. The rock-breaking efficiency of TBM is closely related to the classification of the surrounding rocks. According to the particle-size distribution law of in-situ measured rock detritus, the tunneling thrust intervals when the rock-breaking efficiency of TBM is optimal can be determined under the surrounding rock class II and III.

     

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