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Surrounding rock large deformation intelligent evaluation method based on random forest algorithm

A random forest algorithm and large deformation technology, applied in geometric CAD and other directions, can solve the problems of few geological data, single consideration, poor practicability, etc., and achieve the effect of strong engineering practicability, high reliability of results, and reliable prediction results.

Pending Publication Date: 2020-01-14
NORTHEASTERN UNIV
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Problems solved by technology

[0002] Large deformation of deep surrounding rock is a major geological disaster that plagues the tunnel and underground engineering circles. The advance prediction of geological disasters is often inaccurate, and it is difficult to provide the necessary safety guarantee for tunnel design and construction
[0003] At present, at home and abroad, the strength-stress ratio method in the construction stage is mostly used to determine the large deformation level of the surrounding rock in the survey and design stage. However, the rock mass strength index and ground stress index selected by this method are difficult to obtain accurately in the survey and design stage; moreover , the method considers too single factors, ignoring the rock mass structure, groundwater and other factors that have an important impact on the large deformation of the surrounding rock, resulting in poor practicability of the method in the survey and design stage

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  • Surrounding rock large deformation intelligent evaluation method based on random forest algorithm
  • Surrounding rock large deformation intelligent evaluation method based on random forest algorithm
  • Surrounding rock large deformation intelligent evaluation method based on random forest algorithm

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[0019] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0020] An intelligent evaluation method for large deformation of surrounding rock based on random forest algorithm, such as figure 1 shown, including the following steps:

[0021] Step 1: According to the relative deformation value and absolute deformation value data of the tunnel and the underground engineering site measurement, the large deformation of the surrounding rock is divided into O-level large deformation, I-level large deformation, II-level large deformation, and III-level large deformation;

[0022] Step 1 is to classify the large deformation of the surrounding rock, wherein the relative deformation of the surrounding rock corresponding to the O-level large d...

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Abstract

The invention provides a surrounding rock large deformation intelligent evaluation method based on a random forest algorithm, and relates to the field of tunnel surrounding rock large deformation evaluation methods. The invention provides a surrounding rock large deformation grade intelligent calculation method and a surrounding rock large deformation evaluation table, and is suitable for evaluation and prediction of the confining pressure large deformation degree in the investigation and design stage. According to the method, the large deformation degree of the area can be directly judged according to geological exploration data, so that the operability in the exploration design stage is high; six main influence factors of surrounding rock large deformation are comprehensively considered,semi-quantitative processing is adopted for different factors, consideration is comprehensive, and reliability is high; a large number of engineering instances are counted and calculated by using anadvanced random forest machine learning intelligent algorithm, so that the prediction precision is high and the engineering practicability is high.

Description

technical field [0001] The invention relates to the field of evaluation methods for large deformation of surrounding rock in tunnels, in particular to an intelligent evaluation method for large deformation of surrounding rock based on a random forest algorithm. Background technique [0002] Large deformation of deep surrounding rock is a major geological disaster that plagues the tunnel and underground engineering circles. The advance prediction of geological disasters is often inaccurate, and it is difficult to provide the necessary safety guarantee for tunnel design and construction. [0003] At present, at home and abroad, the strength-stress ratio method in the construction stage is mostly used to determine the large deformation level of the surrounding rock in the survey and design stage. However, the rock mass strength index and ground stress index selected by this method are difficult to obtain accurately in the survey and design stage; moreover , the method consider...

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Application Information

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IPC IPC(8): G06F30/13
Inventor 冯夏庭于小军刘造保周扬一刘旭峰王飞燕侯思雨张广泽冯君
Owner NORTHEASTERN UNIV