摘要
高黎贡山隧道工程地质条件复杂,断层破碎带、节理密集带等不良地质易造成TBM卡机事故。为有效避免TBM卡机事故的发生,以TBM穿越高黎贡山隧道燕山期花岗岩地层为背景,提取卡机段采用TSP法(tunnel seismic prediction)获取的围岩力学参数,通过分析TSP参数的相关性以及对比分析卡机段和正常掘进Ⅴ级围岩段的TSP参数,获取TSP参数与围岩的相关性及卡机段TSP参数的波动规律。研究结果表明:(1)随着泊松比的增大,卡机段的围岩纵波速度呈下降趋势,岩体的静态弹性模量总体呈现降低的趋势;(2)对比正常掘进Ⅴ级围岩段,卡机段TSP法获取的围岩纵波速度、静态弹性模量、波阻抗均有不同程度的下降,而泊松比则有增大的趋势。通过层次分析法理论,对围岩纵波速度、泊松比、静态弹性模量和波阻抗进行定量分析,一定程度上可作为TBM掘进过程中卡机判别的依据。
The complex and unfavorable geological conditions of Gaoligongshan tunnel,such as fault and fractured zones and joint concentrated zones can easily cause tunnel boring machine(TBM)jamming accidents.Accordingly,the mechanical parameters of surrounding rocks obtained from tunnel seismic prediction(TSP)method at TBM-jammed section when crossing Yanshanian granite formation of Gaoligongshan tunnel are extracted.The correlation of TSP parameters is analyzed,and the TSP parameters at the TBM jammed section are compared with those at the normal tunneling section to obtain the correlation between the TSP parameters and surrounding rock,as well as the fluctuation law of the TSP parameters.The following are the findings:(1)with an increase in the Poisson′s ratio,the longitudinal wave velocity of the surrounding rock in the TBM-jammed section and the horizontal wave velocity decreases,whereas the static Young′s modulus of the rock mass shows a decreasing trend and(2)compared with the normal tunneling section in Grade V surrounding rock,the longitudinal wave velocity,static elastic module,and wave impedance obtained from the TSP method at the TBM-jammed section decreases,whereas the Poisson′s ratio shows an increasing trend.Finally,the longitudinal wave velocity,Poisson′s ratio,static Young′s modulus,and wave impedance are quantitatively analyzed using the analytic hierarchy process theory,which can be used as a basis for judging the TBM jamming during the tunneling process to a certain extent.
作者
司景钊
王唤龙
曹贵才
沈维
SI Jingzhao;WANG Huanlong;CAO Guicai;SHEN Wei(China Railway Tunnel Group Co.,Ltd.,Guangzhou 511458,Guangdong,China;China Railway Eryuan Engineering Group Co.,Ltd.,Chengdu 610031,Sichuan,China;China Railway Tunnel Consultants Co.,Ltd.,Guangzhou 511458,Guangdong,China)
出处
《隧道建设（中英文）》
CSCD
北大核心
2021年第3期396-401,共6页
Tunnel Construction
基金
中国国家铁路集团有限公司重大课题(P2018G048,P2019G055)
中国中铁科技研发计划(2020-重点-18)
中铁隧道局集团科技创新计划(隧研合2018-31)。
关键词
铁路隧道
TBM
卡机段
TSP物性参数
波动分析
层次分析法
卡机风险预警
railway tunnel
TBM
TBM-jammed section
TSP physical parameters
fluctuation analysis
analytic hierarchy process(AHP)theory
TBM jamming risk warning
