Concrete damage assessment method based on acoustic emission signal statistic analysis
A technology of acoustic emission signal and statistical analysis, applied in the direction of material analysis using acoustic emission technology, material analysis, material analysis using sound wave/ultrasonic wave/infrasonic wave, etc. It can solve the problem of difficult identification of acoustic emission signal and achieve intuitive damage Evaluate and overcome the effects of fast Fourier transform analysis
Active Publication Date: 2018-09-11
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology
[0005] The purpose of the present invention is to solve the problem that it is difficult to identify the acoustic emission signals corresponding to different modes in the prior art, and to provide a concrete damage assessment method based on the statistical analysis of acoustic emission signals
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Embodiment 1
[0025] In this embodiment, a three-point bending failure test is carried out on concrete.
[0026] Using the concrete damage assessment method based on the statistical analysis of acoustic emission signals proposed by the present invention, the specific operation steps are:
[0027] Step 1: installing an acoustic emission sensor on the concrete for real-time collection of acoustic emission signals generated by concrete damage and destruction.
[0028] 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 shown.
[0029] Step 3: Using the wavelet basis selected in step 2, perform wavelet transformation on the acoustic emission signal collected in step 1 to obtain a time-frequency diagram of the acoustic emission signal, from which time-frequency features can be obtained.
[0030] Step 4. According to the waveform characteristics of t...
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The invention relates to a concrete damage assessment method based on acoustic emission signal statistic analysis, and belongs to the technical field of material damage detection. By means of the method, the defects of an acoustic emission parameter analysis method and a fast Fourier transformation analysis method are overcome. The method comprises the steps that wavelet transformation is conducted on acoustic emission signals to obtain a time-frequency graph of the acoustic emission signals; according to the waveform characters and the time-frequency graph of the acoustic emission signals, the damage modes corresponding to the acoustic emission signals are judged; A acoustic emission signals are used as a sliding window, according to a collection sequence, A acoustic emission signals aresequentially selected as a window, the proportion P1 of the acoustic emission signals corresponding to crack initiation, the proportion P2 of the acoustic emission signals corresponding to crack growing, the proportion P3 of the acoustic emission signals corresponding to crack convergence in each window are calculated, and a statistic graph of the P1, P2 and P3 is drawn; the concrete damage stateis assessed. According to the method, by monitoring the damage and failure processes of concrete in real time, the concrete damage state is assessed.
Description
technical field [0001] The invention relates to a concrete damage assessment method based on statistical analysis of acoustic emission signals, and belongs to the technical field of material damage detection. Background technique [0002] The damage and destruction of concrete materials refer to the deterioration of the macroscopic mechanical properties of the material due to the initiation, expansion and convergence of a large number of internal microcracks during the service process until the final failure. When the micro-cracks in the concrete are formed and expanded, the local source releases energy rapidly to generate transient elastic waves, that is, the acoustic emission phenomenon. Acoustic emission signals can provide dynamic information on the generation and development of microscopic defects in materials, and the characteristics of acoustic emission signals can be used to detect the dynamic process of crack initiation, expansion and confluence in materials leading...
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IPC IPC(8): G01N29/14G01N29/44
CPCG01N29/14G01N29/4445G01N29/449G01N2291/0232G01N2291/0289
Inventor 任会兰宁建国王宗炼李健马天宝
Owner BEIJING INSTITUTE OF TECHNOLOGYGY