Reconstruction of the Amplitude of Signals of Acoustic Emission Based on Mathematically Modeling as a Stochastic Process

The problem of random oscillations generated by an internal defect within the neighborhood of the boundary of an elastic massive body at the prefailure stage is considered. The study is based on the results of the invariant method in the theory of acoustic emission (AE), according to which the stati...

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Veröffentlicht in:Russian journal of nondestructive testing 2024, Vol.60 (5), p.501-512
Hauptverfasser: Berkovich, V. N., Builo, S. I., Builo, B. I.
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Builo, S. I.
Builo, B. I.
description The problem of random oscillations generated by an internal defect within the neighborhood of the boundary of an elastic massive body at the prefailure stage is considered. The study is based on the results of the invariant method in the theory of acoustic emission (AE), according to which the statistical distribution of the values of the parameters of acoustic emission (AE) signals due to a defect obeys the stability condition when the body remains at the same prefailure stage. A mathematical model of a nonstationary wave field of displacements in an elastic massive body is constructed and the issues of the correctness of its application are studied. The problem is reduced to the study of a certain boundary integral equation in special classes of stochastic processes. We pose the problem of reconstructing and describing the nature of the random process of defect emission on the free boundary of the body based on AE signals. The data of numerical analysis are presented.
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subjects Acoustic emission
Acoustic Methods
Acoustics
Boundary integral method
Characterization and Evaluation of Materials
Chemistry and Materials Science
Defects
Emission analysis
Free boundaries
Integral equations
Materials Science
Numerical analysis
Random processes
Signal processing
Stochastic processes
Structural Materials
title Reconstruction of the Amplitude of Signals of Acoustic Emission Based on Mathematically Modeling as a Stochastic Process
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