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Multi-dimensional Gaussian cloud model-based rock burst grade evaluation method

A cloud model and rockburst technology, applied in the field of level evaluation, can solve problems such as ambiguity and randomness, complex occurrence mechanism, difficult rockburst intensity level prediction, etc., achieve objective evaluation results, ensure reliability, and avoid human subjective factors the effect of the influence

Inactive Publication Date: 2017-02-15
CENT SOUTH UNIV
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Problems solved by technology

However, because rockburst is a very complex nonlinear dynamic phenomenon, its occurrence mechanism is complex, with the characteristics of ambiguity and randomness.
Therefore, the existing analysis methods are difficult to accurately and quickly predict the occurrence of rockburst and its intensity level

Method used

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  • Multi-dimensional Gaussian cloud model-based rock burst grade evaluation method
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Embodiment Construction

[0038] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the embodiments. The invention provides a method for evaluating rockburst grades based on a multidimensional Gaussian cloud model, such as figure 1 As shown, proceed as follows:

[0039]Step 1: Establish the rockburst evaluation index system and determine the grading standards for rockburst grades.

[0040] Comprehensively considering various factors that affect the occurrence of rockbursts, and referring to relevant research results, the ratio of uniaxial compressive strength to tensile strength of the rock, σ c / σ t , the ratio of tangential stress to rock uniaxial compressive strength σ θ / σ c , elastic deformation index W et and rock integrity factor K v Four quantitative indicators establish an evaluation index system for rockburst grade prediction. These four indi...

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Abstract

The invention discloses a multi-dimensional Gaussian cloud model-based rock burst grade evaluation method. The method comprises the following steps of: firstly constructing a rock burst intensity grade evaluation index system, dividing the rock burst into a plurality of grades and determining a grading standard; solving Gaussian cloud digital features of rock burst grades corresponding to indexes and establishing a multi-dimensional Gaussian cloud model; widely collecting a plurality of groups of significant deep engineering rock burst examples to establish a rich training sample library, and solving entropy weights of indexes in an evaluation index set by adoption of an entropy weight method and a programming technology; substituting measured values of the evaluation indexes into the multi-dimensional Gaussian cloud model, and combining corresponding weight calculation to obtain a comprehensive certainty degree attached to the rock burst grades; and finally determining an engineering rock burst intensity grade according to a maximum certainty degree principle. According to the method, the rock burst grades can be comprehensively, objectively and correctly evaluated, and the evaluation result is objective; and a brand new method is provided for the grading prediction of deep underground engineering rock burst intensity.

Description

technical field [0001] The invention belongs to the technical field of underground engineering, and in particular relates to a rockburst grade evaluation method based on a multidimensional Gaussian cloud model. Background technique [0002] Rockburst is a common geological disaster in the excavation or mining process of deep rock mass engineering. It is mainly under the condition of high ground stress. It is a kind of dynamic instability geological disaster caused by the sudden release of elastic strain energy of elastic strain, resulting in bursting, loosening, peeling, ejection or even throwing and other destructive phenomena. The occurrence of rockburst directly threatens the safety of operators and equipment, affects the progress of the project, and even destroys the entire project. With the increase of buried depth or the increase of stress level, rockbursts in underground engineering in my country tend to occur frequently. Therefore, the accurate prediction of rockbu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 周科平李杰林林允胡建华邓红卫
Owner CENT SOUTH UNIV
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