Rock fracture early warning method based on acoustic emission signal statistical analysis

A technology of acoustic emission signal and statistical analysis, which is applied in the direction of using acoustic emission technology for material analysis, analyzing materials, and using sound waves/ultrasonic waves/infrasonic waves for material analysis, etc. problem, to achieve the effect of simple calculation process, ensuring objectivity and accuracy, and easy operation

Active Publication Date: 2021-03-05
DALIAN UNIV OF TECH
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because rock is a typical heterogeneous brittle material, the deformation is not significant before failure, so it is very difficult to use the deformation amount and its change rate for early warning
Acoustic emission signals increase during rock failure, which can be directly used as a precursor signal of rock failure through the significant increase in the number of acoustic emissions and the release rate, but there are also disadvantages that the early warning signal points are difficult to accurately identify
And it is easy to be interfered by some abnormal acoustic emission signals and lead to misjudgment. These acoust

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Rock fracture early warning method based on acoustic emission signal statistical analysis
  • Rock fracture early warning method based on acoustic emission signal statistical analysis
  • Rock fracture early warning method based on acoustic emission signal statistical analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to further explain the technical solution of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0032] like figure 1 Shown, a kind of method based on acoustic emission signal statistical analysis method of rock fracture early warning method, comprises the following steps:

[0033] (1) Real-time acoustic emission monitoring of rock deformation and failure process, automatic recording and acquisition of acoustic emission ringing counts. In this embodiment, the acoustic emission monitoring of the deformation and failure process of granite under uniaxial compression load is adopted, and the relationship curve of the acquired acoustic emission ringing count with loading time is as follows figure 2 shown.

[0034] (2) Calculate the variance and autocorrelation coefficient of the acoustic emission ringing count sequence. In this embodiment, the window length (n) is set to ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a rock fracture early warning method based on acoustic emission signal statistical analysis, and belongs to the field of rock mechanics and geotechnical engineering. Firstly, real-time acoustic emission monitoring is carried out on the rock deformation and damage process, and ringing counts are recorded and obtained; secondly, the characteristic statistics, including variance and autocorrelation coefficient,of ringing counts is calculated through a formula, and the variance of ringing counts and the change rate of autocorrelation coefficient are calculated; and finally,early warning signal discrimination is carried out according to the variance of ringing counts and the change rate of the autocorrelation coefficient. When the change rate is greater than the threshold, the system automatically gives an alarm to indicate that the rock is about to crack. If the change rate does not exceed the threshold, monitoring and judging are continuous. According to the earlywarning method, early warning signal points are easy to identify and stable in calculation, and objectivity and accuracy of the early warning method can be ensured; the calculation process is simpleand convenient to operate; real-time tracking and early warning can be achieved, and the method can be widely applied to rock damage early warning in the engineering fields of water conservancy and hydropower, transportation, mineral resource exploitation, underground space development and the like.

Description

technical field [0001] The invention belongs to the field of rock mechanics and geotechnical engineering, and relates to a rock fracture early warning method based on statistical analysis of acoustic emission signals, which is suitable for rock fracture prediction and early warning encountered in civil engineering, water conservancy and hydropower engineering, mining engineering, and transportation engineering. Background technique [0002] With the continuous advancement of mining, tunnel excavation, construction of water conservancy projects, and development and utilization of underground space, the geological conditions of the rock masses involved in the construction and operation of the project are more complex, and the stability evaluation of the project is very important. Rock cracking will cause a series of geological disasters such as landslides, rockbursts, collapses, and large deformations of tunnels, seriously threatening the safety and service life of the project....

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01N29/14G01N29/50G01N29/44
CPCG01N29/14G01N29/50G01N29/449G01N29/4454G01N2291/0232
Inventor 张正虎马克李迎春胡李华马天辉唐春安
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products