Karst tunnel roof safety thickness prediction method, system and equipment

Abstract

The invention discloses a karst tunnel roof safety thickness prediction method, system and equipment. The method comprises the following steps: acquiring influence factors of the minimum safety distance of a roof of a to-be-predicted karst tunnel; and inputting the influence factors of the minimum safe distance of the roof of the to-be-predicted karst tunnel into a pre-trained karst tunnel roof safe thickness prediction model, and outputting to obtain a karst tunnel roof safe thickness prediction result, wherein the pre-trained karst tunnel roof safety thickness prediction model is a support vector machine regression model optimized by using a particle swarm optimization. According to the invention, the support vector machine regression model optimized by the particle swarm optimization is used as the pre-trained karst tunnel roof safety thickness prediction model; and karst tunnel roof safety thickness prediction is carried out according to the obtained influence factors of the minimum safe distance of the roof of the to-be-predicted karst tunnel, so that local minimum points of the prediction model are avoided, the convergence speed is high, and the prediction precision is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of tunnel engineering construction, and in particular relates to a method, system and equipment for predicting the safe thickness of a karst tunnel roof. Background technique [0002] With the rapid development of transportation, it is inevitable to build tunnels in karst areas; some research has been done on the influence of karst caves around tunnels on tunnel construction, but there are still many problems to be solved; especially when there are karst tunnels around the tunnel. In the case of caves, it is necessary to study how to determine the minimum safe distance between the two under the condition of ensuring the safety of tunnel construction and the prevention of instability and collapse of the cave. [0003] At present, the methods to determine the safe thickness of karst tunnel roof are: (1) Analogy method: According to engineering practice experience and previous research results, the main factors...

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Problems solved by technology

[0006] Aiming at the technical problems existing in the prior art, the present invention provides a karst tunnel roof safety thickness prediction method, system and equipment to solve the problem that the existing karst tunnel roof safety roof thickness prediction model has a slow convergence speed and is prone to local minimum points , a single consideration factor can easily lead to inaccurate prediction results and different technical problems caused by the selection of SVM model parameters

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