摘要
针对现有技术无法预先、实时获取隧道掘进机(TBM)掌子面岩体状态参数的问题,提出基于TBM掘进过程监测的岩体状态感知方法.以吉林引松供水工程TBM施工隧道为依托,分析TBM掘进过程中掘进参数的变化规律,建立TBM掘进参数与岩体参数数据库,研究TBM设备参数和在掘岩体参数之间的相互关系.分别采用分步回归和聚类分析的方法建立岩机关系模型,利用监测TBM掘进参数实时感知岩石强度、体积节理数和围岩等级等参数.以石灰岩和花岗岩地层为例,对TBM在掘岩体参数的预测值与实际值进行对比.结果表明,利用提出的岩体状态感知方法预测的岩石抗压强度UCS和体积节理数与实际值的误差小于18%,预测当前围岩等级与实际岩体状态基本一致,验证了研究结果的准确性.
A prediction method of rockmass parameters was proposed based on tunnelling process of tunnel boring machine(TBM) in order to solve the problem that the rockmass parameters of tunnel face was obtained difficultly in real time during TBM construction. The variation of tunnelling parameters in the TBM construction process was analyzed supported by water supply project from Songhua River in Jilin Province. A database was established which included the tunnelling parameters of TBM and rockmass parameters, and the correlation between the rockmass parameters and the tunnelling parameters of TBM was deduced. A new relational model between rockmass and TBM was constructed based on the stepwise regression algorithm and the clustering algorithm. The uniaxial compressive strength(UCS) of rock, volumetric joint count and surrounding rockmass classification were predicted by monitoring the tunnelling parameters of TBM. The rock parameters of tunnel face in the limestone and granite strata were predicted and compared with the actual values. Results indicated that the predicted UCS and volumetric joint count had an estimated maximum error of 18%, and the evaluated comprehensively surrounding rockmass classification accorded well with the actual state of rockmass, which verified the accuracy of the research results.
作者
张娜
李建斌
荆留杰
杨晨
陈帅
ZHANG Na;LI Jian-bin;JING Liu-jie;YANG Chen;CHEN Shuai(China Railway Engineering Equipment Group Limited Company, Zhengzhou 450016, China;China Railway Hi-Tech Industry Corporation Limited, Beijing 400000, China;State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining and Technology, Xuzhou 221116, China)
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2019年第10期1977-1985,共9页
Journal of Zhejiang University：Engineering Science
基金
国家“973”重点基础研究发展规划资助项目(2015CB058103)
关键词
隧道掘进机(TBM)
掘进参数
岩体参数
岩机关系模型
岩体感知方法
tunnel boring machine(TBM)
tunnelling parameter
rockmass parameter
relational model between rock and tunnel boring machine
prediction method of rockmass parameter
