Numerical sample and random forest-based TBM jamming risk prediction method
A technology of risk prediction and random forest, which is applied in special data processing applications, instruments, calculation models, etc., can solve the problems of difficult and fast and real-time prediction of machine jam risk, and achieve the problem of overcoming imbalance, overcoming the small number of monitoring samples, and fast prediction Effect
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[0055]In order to make the objects, technical solutions and advantages of the present invention, the present invention will be described in further detail below with reference to the accompanying drawings and examples. It is obvious that the specific embodiments described herein are intended to explain the present invention and is not intended to limit the invention.
[0056]Such asFigure 1 ~ 6 As shown, the present invention provides a Risk prediction method based on numerical samples and random forests, such asfigure 1 As shown, including the following steps:
[0057]Step S1, establish a refined numerical simulation model, based on creep injury model to simulate the agringement of surrounding rocks, realize the simulation of the TBM construction process;
[0058]Taking a tunnel engineering as a background, based on FLAC3D(Fast Lagrangian Analysis of Continua 3D, three-dimensional continuous medium fast Lagrangar analysis) software establishes a double-shield TBM refined numerical simulatio...
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