Tunnel engineering surrounding rock grade rapid dividing method and device

Abstract

The invention discloses a tunnel engineering surrounding rock grade rapid division method, which comprises the steps of exciting and transmitting electromagnetic waves and seismic waves to a geological area to be measured, and collecting the electromagnetic waves and the seismic waves fed back by the geological area; establishing a displacement Lame equation derivation and displacement function according to the feedback seismic waves, and solving longitudinal wave velocity mu p and transverse wave velocity mu s corresponding to the seismic waves with different frequencies; preprocessing the longitudinal wave velocity mu p and the transverse wave velocity mu s; performing data fusion on the preprocessed longitudinal wave velocity mu p and transverse wave velocity mu s, adding geological parameter constraints, and forming a standard model for surrounding rock category and property judgment; establishing an electromagnetic wave attenuation coefficient according to the feedback electromagnetic wave, and performing fusion by adopting a fuzzy neural network to obtain a fused data model; analyzing by adopting a fuzzy analytic hierarchy process, and carrying out probability statistics by utilizing a Bayesian function; and in combination with the standard model and the fused data model, a U-Net network is used for identification, and the tunnel engineering surrounding rock grade is obtained.

Description

technical field [0001] The invention relates to the technical field of classification of surrounding rock grades in tunnel engineering, in particular to a method and device for quickly classifying surrounding rock grades in tunnel engineering. Background technique [0002] The surrounding rock classification in this paper refers to dividing the infinite rock mass sequence into a limited number of categories with different degrees of stability according to the rock mass integrity and rock strength indicators. All surrounding rocks are divided into several categories. At present, the surrounding rock classification technology in the prior art relies on experimental equipment to carry out strength and integrity tests in the laboratory. However, the sites of tunnel projects such as railways, highways, and water conservancy projects are mostly far away from cities, and it is difficult to timely evaluate the surrounding rock. Therefore, it is necessary to make a breakthrough in t...

AI Technical Summary

Problems solved by technology

[0010] First, the above technology needs to collect samples and carry out relevant mechanical experiments for measurement. It takes a certain period of time from sampling to results, and collecting samples has certain risks.

[0011] Second, the acquired images may have shortcomings such as low resolution and unclear images, which will bring some troubles to subsequent processing

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