Rockburst grade predicting method based on information vector machine

An information vector machine and prediction method technology, applied in the field of underground engineering, can solve problems such as poor prediction results of rockburst geological disasters

Active Publication Date: 2015-06-24
GUANGXI UNIV
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Problems solved by technology

[0008] In order to overcome the defects existing in the prior art, the present invention proposes a rockburst level prediction method based on information vector machine, aiming to solve the problem of poor prediction eff

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  • Rockburst grade predicting method based on information vector machine
  • Rockburst grade predicting method based on information vector machine
  • Rockburst grade predicting method based on information vector machine

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[0054] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0055] see figure 1 Shown, implementation process of the present invention comprises the following steps:

[0056] Step 1. Select the rockburst evaluation index and classification standard;

[0057] Referring to the research results on rockburst influencing factors, evaluation indicators and empirical criteria, according to the cause and characteristics of rockburst, the maximum shear stress σ of the surrounding rock of the cave wall is considered θ, Uniaxial compressive strength σ c , Uniaxial tensile strength σ t and rock elastic energy index W et and other main factors affecting rockburst, the selected stress coefficient σ θ / σ c , brittleness coefficient σ c / σ t , and elastic energy index W et As an evaluation index to determine whether rockburst occurs or not and the intensity level. where σ...

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Abstract

The invention discloses a rockburst grade predicting method based on an information vector machine to mainly solve the problem that in the current underground engineering construction process, the rockburst geological disaster prediction effect is not good. A rockburst evaluation index and a grading standard are selected, and domestic and overseas great deep rock engineering rockburst instances are widely collected to establish an abundant training sample library. A cross validation strategy is utilized for training an IVM model with the superior statistics mode recognition performance, accordingly, a nonlinear mapping relation between the rockburst evaluation index and the rockburst grade is established, model initial parameter setting and the training sample library are adjusted according to the training result, and the IVM model predicting the rockburst grade is finally established. By means of the method to predict the rockburst grade, the complex mechanical analysis or calculation is not needed, only the input feature vector of a sample to be predicted needs to be input in the prediction model, and then the prediction value of the rockburst grade can be obtained. The method is economical, efficient and high in prediction precision and has good engineering application prospects.

Description

technical field [0001] The invention belongs to the technical field of underground engineering, and relates to a method for predicting rockburst grades based on an information vector machine. Background technique [0002] Rockburst is a dynamic geological disaster phenomenon that occurs when the elastic strain energy accumulated in the rock mass is released suddenly during the excavation of underground engineering in high geostress areas. Low-intensity rockbursts are characterized by the peeling off of surrounding rocks, with sound and air waves, and are less dangerous; high-intensity rockbursts are manifested in the collapse and ejection of surrounding rocks, which produce large dust and air shock waves, and often cause rocks to collapse. The body and the surface vibrate, similar to a small earthquake. The phenomenon of rockburst geological disaster directly threatens the safety of construction personnel and equipment, affects the progress of the project, and increases the...

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Application Information

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IPC IPC(8): G06F19/00G06K9/62
Inventor 苏国韶翟少彬程纲为江权蒋剑青胡李华彭立锋尹宏雪
Owner GUANGXI UNIV
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