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Rock fracture mode intelligent detection and identification method based on acoustic emission model

An identification method and acoustic emission technology, applied in the direction of material analysis, processing detection response signals, and measuring devices using acoustic emission technology, to achieve important scientific significance and application value

Pending Publication Date: 2020-06-12
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

The present invention proposes that the intelligent detection and recognition method of rock fracture mode based on Gaussian mixture model (GMM) is a kind of distribution-based unsupervised classification technology, which has been successfully applied in many fields, including sound recognition, image processing, dynamic system and tracking and text recognition; however, this technique has not been used for intelligent recognition of rock fracture patterns based on acoustic emission

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  • Rock fracture mode intelligent detection and identification method based on acoustic emission model
  • Rock fracture mode intelligent detection and identification method based on acoustic emission model
  • Rock fracture mode intelligent detection and identification method based on acoustic emission model

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Embodiment 1

[0079] The whole training can be summarized as:

[0080] ① Initialize the parameters in λ, and use the vector quantization method to preliminarily determine the two encoding parameters of the Gaussian mixture under state correlation;

[0081] ② Apply formula (5) to get Pr(i|x t ,λ k );

[0082] ③ Use Pr(i|x t ,λ k ) to better estimate the parameter λ k+1 (see formula (6) ~ formula (8));

[0083] ④ Iterate steps ② and ③ until convergence.

[0084] like figure 2 As shown, (a) (b) are the stress σ of limestone under uniaxial compression c Intelligent crack identification results in the early and mid-to-late stages. It can be observed from the figure that the limestone in the initial stage of loading (0~0.1)σ c Almost all of them are tension cracks, the ellipse of tension clustering is relatively round, and the points around the center point are more evenly distributed, loading to the middle step (0.5~0.6)σ c When it develops into a transitional stage from tension to s...

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Abstract

The invention discloses a rock fracture mode intelligent detection and identification method based on an acoustic emission model. The method comprises the following steps: firstly, arranging an acoustic emission system used for testing acoustic emission parameters in the rock fracture process on a rock to be monitored; inputting the target characteristic data into a pre-trained signal identification model, wherein the signal identification model is obtained by training a training set of rock fracture acoustic emission in advance; then intelligently identifying the development ratio of tensionand shear cracks in the rock fracture process; and finally, according to the corresponding relation between the waveform characteristics determined by the rock fracture acoustic emission signals and rock fracture mode identification, providing a series of reliable detection thresholds for quantitative formulation of a rock mass disaster early warning scheme. Meanwhile, an analysis method is provided for deep research and identification of rock fracture instability precursor signal characteristics.

Description

technical field [0001] The invention relates to the technical field of geological survey applications, in particular to an intelligent detection and identification method for rock fracture modes based on an acoustic emission model. Background technique [0002] Acoustic emission signal detection technology provides an attractive solution for damage assessment / structural health monitoring of various rock structures (slopes, dams, roadbeds, tunnels, etc.). The performance and function of these civil structures are critical to the safety of society, and during various natural events (ie, earthquakes, hurricanes, and tsunamis), these events may compromise their safety and availability. To ensure the overall stability of these structures, proper assessment and prediction of the development of rock fractures is crucial, especially in engineering practice, since models of rock fractures reflect not only their condition as a material, but also the entire The state of the system at ...

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Application Information

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IPC IPC(8): G01N29/14G01N29/44
CPCG01N29/14G01N29/4472G01N2291/0232
Inventor 朱星
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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