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Method for predicating critical instability of brittle material through using energy characteristic value of acoustic emission signal

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: 2015-10-07
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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  • Method for predicating critical instability of brittle material through using energy characteristic value of acoustic emission signal
  • Method for predicating critical instability of brittle material through using energy characteristic value of acoustic emission signal
  • Method for predicating critical instability of brittle material through using energy characteristic value of acoustic emission signal

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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 predicating the critical instability of a brittle material through using the energy characteristic value of an acoustic emission signal, and belongs to the technical field of material damage detection. The method comprises the following steps: arranging an acoustic emission sensor on a brittle material to be monitored, and acquiring an acoustic emission signal; 2, selecting a small wavelet base according to the waveform characteristic of the acoustic emission signal; 3, carrying out first grade wavelet packet decomposition on the acoustic emission signal to obtain a low frequency range signal and a high frequency range signal; 4, respectively calculating the energy characteristic values P1 and P2 of the low frequency range signal and the high frequency range signal; 5, respectively drawing the statistical charts of the energy characteristic value P1 of the low frequency range signal and the energy characteristic value P2 of the high frequency range signal; and 6, judging whether the brittle material to be monitored is in a critical instability state or not according to the change state of the P1 and the P2. The method overcomes the disadvantages of an acoustic emission parameter analysis method and a fast Fourier transform analysis method, monitors the destroy process to the material in real time, can visually determines the danger degree before expansion of cracks, and can predict the critical instability state of the material.

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...

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Application Information

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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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