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

Abstract: 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.

Key words: railway tunnel, TBM, TBMjammed section, TSP physical parameters, fluctuation analysis, analytic hierarchy process (AHP) theory, TBM jamming risk warning