Failure prediction and estimation of failure parameters
US-11169288-B1 · Nov 9, 2021 · US
US12474493B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12474493-B2 |
| Application number | US-202217993895-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 24, 2022 |
| Priority date | Nov 26, 2021 |
| Publication date | Nov 18, 2025 |
| Grant date | Nov 18, 2025 |
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A rock burst hazard prediction method based on vibration wave energy attenuation characteristics of a mine earthquake cluster is provided. The rock burst hazard prediction method comprehensively considers the static load and dynamic load effects of the vibration waves of the mine earthquake cluster based on vibration wave energy attenuation characteristics of the mine earthquake cluster. The static load strength index and the dynamic load strength index involved in the method have clear physical meanings. A comprehensive prediction index calculation model proposed based on the dynamic and static load superposition principle of rock burst occurrence is clear, and the method has a firm theoretical support as well as strong universality and operability. Meanwhile, the updating and adjustment of weights are rapid and the objective judgment and prediction of the final comprehensive prediction results are efficient, and the high-energy mine earthquake and impact behavior area can be effectively predicted.
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What is claimed is: 1 . A rock burst hazard prediction method based on seismic wave energy attenuation characteristics of a mine earthquake cluster, comprising predicting a rock burst hazard through the seismic wave energy attenuation characteristics of the mine earthquake cluster by comprehensively considering static load and dynamic load effects of seismic waves of the mine earthquake cluster; wherein the rock burst hazard prediction method comprises the following steps: constructing a static load strength index based on the seismic wave energy attenuation characteristics of the mine earthquake cluster by considering a cumulative damage effect of mine earthquake seismic waves on coal-rock masses; constructing a dynamic load strength index based on the energy attenuation characteristics of the mine earthquake cluster by considering an energy accumulation effect of the mine earthquake seismic waves; and determining weights of the static load strength index and the dynamic load strength index using a mean square error method, and further constructing a comprehensive prediction index by superposing the static load strength index and the dynamic load strength index to predict the rock burst hazard. 2 . The rock burst hazard prediction method based on the seismic wave energy attenuation characteristics of the mine earthquake cluster according to claim 1 , wherein a seismic source of a mine earthquake is assumed as a sphere with a radius of r 0 , and a residual energy of seismic waves of the seismic source in the mine earthquake cluster after propagation attenuation is calculated by the following formula: { E ij = E j ( r ij ≤ r 0 ) E ij = E j r 0 - 2 R ij - 2 e - η ( R j - r 0 ) ( R ij > r 0 ) ppv ij = ppv j R ij - 1 e - β R ij ( R ij > r 0 ) , η = 2 β wherein E ij is the residual energy of the seismic source in the mine earthquake cluster after propagation from a point j to a point i, wherein the point j is a position of a center of the seismic source; E j is an energy of the seismic source at the point j; ppv ij is a peak particle velocity caused by the propagation of seismic waves radiated by the seismic source from the point j to the point i; ppv j is a peak particle velocity of the seismic source at the point j; R ij is a linear distance between the point j and the point i; r 0 is the radius of the seismic source; η is an energy attenuation coefficient; and β is a peak particle seismic velocity attenuation coefficient, and β is obtained by fitting a relationship between the peak particle velocity recorded by a plurality of probes not exceeding a measuring range in a microseismic monitoring system and a distance from each probe to the seismic source. 3 . The rock burst hazard prediction method based on the seismic wave energy attenuation characteristics of the mine earthquake cluster according to claim 2 , wherein the radius r 0 o
Physical property of subsurface · CPC title
Event detection in seismic signals, e.g. microseismics (G01V1/36 takes precedence) · CPC title
Analysis (G01V1/50 takes precedence) · CPC title
Agriculture; Fishing; Forestry; Mining · CPC title
using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model · CPC title
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