Tunneling prediction method and system for tunnel based on TBM rock-machine parameter dynamic interaction mechanism

Abstract

The invention provides a tunneling prediction method and system for a tunnel based on a TBM rock-machine parameter dynamic interaction mechanism. The method comprises: establishing an equipment information sample database and a rock mass information sample database; analyzing and calculating a rock mass information sample database of the TBM tunneling parameter rising section to obtain rock mass information weights under different equipment state conditions; through a rock-machine parameter dynamic interaction mechanism, determining convergence conditions under different equipment informationstates by a machine parameter dynamic interaction mechanism, and obtaining an optimal solution of TBM tunneling parameter stable section tunneling parameters under different rock mass information conditions according to the convergence conditions; establishing an optimal tunneling formula suitable for TBM tunneling through the obtained weight information and the optimal solution of the parametersof the tunneling stable section, carrying out TBM tunneling feasibility grading according to the tunneling formula, and predicting the TBM tunneling efficiency. According to the method, equipment parameters and rock mass parameter indexes are selected by combining TBM construction characteristics, the accuracy is higher, the objectivity is higher, and the obtained result is more accurate.

Description

technical field [0001] The present disclosure relates to the technical field of tunnel engineering, in particular to a method and system for tunnel drivability prediction based on the dynamic interaction mechanism of TBM rock-machine parameters. Background technique [0002] In recent years, the TBM method has become the preferred construction method for long tunnels in my country, especially mountain tunnels. At present, parameters such as compressive strength and integrity of TBM construction rock mass information are obtained through manual on-site sketching, sampling, and laboratory tests. The acquisition methods are relatively backward, and it is impossible to perceive and predict the rock mass state in real time. [0003] The selection and control of tunneling parameters in TBM construction basically rely on human experience to make judgments and adjustments. The matching between tunneling parameters and rock mass state parameters is poor. Once encountering stratum cha...

AI Technical Summary

Problems solved by technology

At present, the parameters of TBM construction rock mass information such as compressive strength and integrity are obtained through manual on-site sketching, sampling and laboratory tests. The acquisition methods are relatively backward, and it is impossible to perceive and predict the rock mass state in real time

[0003] The selection and control of tunneling parameters in TBM construction basically rely on human experience to make judgments and adjustments. The matching between tunneling parameters and rock mass state parameters is poor. Once encountering stratum changes or complex geological conditions, it is difficult to adjust the tunneling plan and control parameters in a timely and effective manner. It is prone to accidents such as jamming, geological disasters, and even casualties

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