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A method for predicting critical instability of brittle materials using energy eigenvalues ​​of acoustic emission signals

A technology of acoustic emission signals and energy characteristics, applied in the direction of material analysis using acoustic emission technology, can solve difficult and insufficient problems, and achieve the effect of overcoming the fast Fourier transform analysis method

Inactive Publication Date: 2018-01-30
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, FFT loses time information during transformation, which is obviously insufficient when dealing with non-steady-state acoustic emission signals and it is difficult to quantitatively and comprehensively analyze signal characteristics

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  • A method for predicting critical instability of brittle materials using energy eigenvalues ​​of acoustic emission signals
  • A method for predicting critical instability of brittle materials using energy eigenvalues ​​of acoustic emission signals
  • A method for predicting critical instability of brittle materials using energy eigenvalues ​​of acoustic emission signals

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Embodiment Construction

[0031] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0032] In this embodiment, the brittle material to be monitored is Al 2 o 3 Ceramic, to Al 2 o 3 Ceramics were subjected to compression failure tests.

[0033] Using the method proposed by the present invention to predict critical instability of brittle materials using acoustic emission signal energy eigenvalues 2 o 3 Ceramic monitoring, the process of judging that it is in a critical instability state is as follows:

[0034] Step 1. An acoustic emission sensor is installed on the brittle material to be monitored for real-time collection of acoustic emission signals on the brittle material to be monitored.

[0035] Step 2. According to the waveform characteristics of the acoustic emission signal collected in step 1, select the db3 wavelet basis, and the db3 wavelet basis function diagram is as follows figure 1 s...

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Abstract

The invention relates to a method for predicting the critical instability of a brittle material by using the energy characteristic value of an acoustic emission signal, and belongs to the technical field of material damage detection. The steps are: ① install the acoustic emission sensor on the brittle material to be monitored, and collect the acoustic emission signal; ② select the wavelet base according to the waveform characteristics of the acoustic emission signal; ③ decompose the acoustic emission signal into a low-frequency band signal and high-band signals; ④ Calculate the energy eigenvalues ​​P1 and P2 of the low-frequency and high-band signals respectively; and P2 to determine whether the brittle material to be monitored is in a critical instability state. The method proposed by the invention overcomes the deficiencies of the acoustic emission parameter analysis method and the fast Fourier transform analysis method. Through real-time monitoring of the damage process of the material, the degree of danger before the crack propagation can be intuitively judged, and the critical failure of the material can be predicted. steady state.

Description

technical field [0001] The invention relates to a method for predicting the critical instability of a brittle material by using the energy characteristic value of an acoustic emission signal, and belongs to the technical field of material damage detection. Background technique [0002] Acoustic emission technology can monitor the damage process of materials in real time. Although many scholars have done a lot of work in the detection of acoustic emission of brittle materials, these studies mainly focus on the analysis of parameters (amplitude, number of events, ringing number, energy, etc.) method. The parameter analysis method is of great significance for the study of crack growth and material damage, but it is difficult to judge the critical instability state of the material by this method. [0003] Acoustic emission signals are transient and random, and contain components of different frequencies and modes. It is of great significance to study the failure process of bri...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N29/14
Inventor 宁建国任会兰马天宝王宗炼
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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