Tunnel surrounding rock grade classification method based on rock machine sensitive parameter identification and improved FMC model

Abstract

The invention discloses a tunnel surrounding rock grade classification method based on rock machine sensitive parameter identification and improved FMC model. The method comprises the following steps: 1, obtaining TBM dynamic tunneling parameters, thrust F, propulsion speed v, cutterhead torque T and cutterhead rotating speed n in real time; 2, performing data cleaning to obtain steady-state tunneling data; 3, constructing a rock machine parameter database; 4, rock machine sensitive parameter importance identification; 5, selecting a rock machine sensitive parameter as a training sample to train the FMC model; 6, selecting a rock machine sensitive parameter as an identification sample, and inputting the identification sample into the FMC model for surrounding rock identification; and 7, outputting a surrounding rock grade identification result. The TBM tunnel face surrounding rock grade is judged and perceived in real time according to the dynamic tunneling parameters, and the tunneling parameters are adjusted through surrounding rock state inversion. By means of mutual feedback dynamic perception and dynamic adjustment of rock machine information, the requirement for dynamically adjusting tunneling parameters and tunneling schemes according to tunnel face surrounding rock grade changes is met, and the TBM tunneling efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of tunnel construction, in particular to a classification method based on identification of sensitive parameters of rock machines and improvement of FMC model tunnel surrounding rock grades. Background technique [0002] During tunnel construction, the real-time and accurate perception of the state of the surrounding rock at the face of the tunnel is of great significance for the main driver of the TBM to dynamically adjust the tunneling parameters, rationally adjust the tunneling plan, and avoid engineering risks. The adjustment of the existing tunneling parameters mainly depends on the experience control of the main driver of the TBM. Once the identification of the surrounding rock state is inaccurate or encounters a sudden change in the stratum, if the tunneling parameters and plans are not adjusted in time, major engineering accidents such as machine jams and collapses will occur, causing major engineerin...

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Problems solved by technology

[0004] (1) At present, the surrounding rock identification method is mostly based on the physical characteristic parameters of the rock mass itself, the rock slag image recognition of the tunnel boring machine and the advanced geological prediction parameters to comprehensively evaluate the state of the rock mass in front, and there are few rock machine parameters related to the TBM itself

[0005] (2) The physical characteristic parameters of the rock mass itself cannot be obtained in real time, and the advance and real-time performance of knowing the surrounding rock information of the working face cannot be realized, and the TBM main driver cannot dynamically adjust the tunneling parameters and tunneling scheme according to the change of the surrounding rock grade of the working face. need

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