Acoustic emission signal visualization processing method for rock fracture classification

An acoustic emission signal and processing method technology, which is applied in the analysis of solids using sonic/ultrasonic/infrasonic waves, testing the strength of materials by applying a stable shear force, and testing the strength of materials using a stable tension/pressure application, etc. Problems such as classification of rock fracture modes have achieved important scientific significance and engineering value, reduced complexity, and facilitated computing.

Active Publication Date: 2021-09-07
CHINA UNIV OF MINING & TECH
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the processing of acoustic emission data mainly includes methods such as parameter statistics, waveform analysis (wavelet transform), fault source / seismic source location, Fourier transform, etc., but the above methods cannot solve the classification problem of rock fracture modes

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
  • Acoustic emission signal visualization processing method for rock fracture classification
  • Acoustic emission signal visualization processing method for rock fracture classification
  • Acoustic emission signal visualization processing method for rock fracture classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The technical solutions of the present invention will be described in more detail below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, other embodiments obtained by persons of ordinary skill in the art without creative efforts all belong to the protection scope of the present invention.

[0060] A method for visually processing acoustic emission signals for classification of rock fractures, specifically comprising the following steps:

[0061] Step S1, setting the acoustic emission signal parameters for rock fracture monitoring in the laboratory, and establishing a signal collection and identification model;

[0062] In step S1, setting the acoustic emission signal parameters for monitoring rock fracture mainly includes: the operating frequency range is 125-750k...

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 relates to an acoustic emission signal visualization processing method for rock fracture classification. Intelligent operation is realized through a series of steps of acoustic emission data acquisition, collection, model training, error analysis and verification, and the whole model can adapt to visualization identification of multiple fracture modes in the mining engineering field and the rock engineering field. The applied visualization processing method is key density function estimation, and compared with other functions, the method can more accurately describe probability distribution of unknown acoustic emission events. And the key density function estimation is a dimensionless function method, the operation is more convenient, the method is not sensitive to the data volume, and for a large number of acoustic emission data points, the operation can be completed in several seconds each time.

Description

technical field [0001] The invention relates to the technical field of mining engineering, in particular to an acoustic emission signal visualization processing method for rock fracture classification. Background technique [0002] The fracture of rock mass is the main problem faced in rock mechanics and rock engineering, and acoustic emission technology, as a means of non-destructive monitoring, has been used in mineral resource mining, foundation pit excavation, slope protection, roadbed construction of railways and highways in recent years. , tunnel long-term stability and many other fields have been widely used. The principle of acoustic emission monitoring and microseismic monitoring is the same, that is, the rock will release strain energy during deformation and fracture and propagate outward in the form of stress wave, so as to invert the fracture information in rock engineering, such as fracture time, fracture position, break shape, etc. The frequency of acoustic e...

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): G01N3/08G01N3/24G01N29/04
CPCG01N3/08G01N3/24G01N29/04G01N2203/0025G01N2203/0067
Inventor 种照辉姚强岭李学华张舒胤闫仑梁顺夏泽徐强
Owner CHINA UNIV OF MINING & 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap