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4_2025_sen_7

Title of the article APPLICATION OF ACOUSTIC EMISSION PARAMETERS STATISTICAL ANALYSIS METHODS TO ASSESS THE COMPOSITE SAMPLES DAMAGE DEGREE
Authors

MATVIENKO Yuri G., D. Sc. in Eng., Prof., Head of the Department, Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it.

BALANDIN Timofey D., Junior Researcher, Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it.

CHERNOV Dmitry V., Ph. D. in Eng., Assoc. Prof., Senior Researcher, Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it.
In the section DYNAMICS, DURABILITY OF VEHICLES AND STRUCTURES
Year 2025
Issue 4(73)
Pages 52–57
Type of article RAR
Index UDK 620.179.17
DOI https://doi.org/10.46864/1995-0470-2025-4-73-52-57
Abstract The work is devoted to the study of damage accumulation kinetics in products made of polymer composite materials using the acoustic emission (AE) method. To solve the problem, an algorithm for processing streaming AE parameters is proposed, based on the combined use of statistical processing methods for experimental data and regression analysis models. The values of high-level quantiles p = 0.9 of the empirical functions of the leading edge energy distribution [Eφ]p=0.9 and the average frequency of emissions [Ni/ti]p=0.9 of AE pulses were selected as the most informative parameters used in assessing the degree of damage to composite samples. The calculation of the empirical distribution functions for the selected AE parameters was carried out using the window function method. The implementation of the proposed algorithm consists in calculating the weight content of the streaming AE parameters in segments I, II and III of the criterial plane [Eφ]p=0.9 – [Ni/ti]p=0.9, formed at the stages of scattered crack formation in the matrix (I), local fiber failure (II) and intensive damage accumulation in the stress concentration zone (III) of the composite sample. Based on the dynamics of change in the weight content of the streaming parameters in segment I (WI), a regression model was synthesized that allows estimating the degree of damage to the monitored products based on the AE monitoring results. A fractional rational function of the first order was used as a regression model, the coefficients of which were calculated using the least squares method. The maximum value of the reduced error for the proposed empirical model for the studied composite material did not exceed γ = 3.6 %, and the high degree of correlation between the model and experimental data is confirmed by the value of the correlation coefficient R2 = 0.94.
Keywords acoustic emission, degree of damage, composite materials, statistical analysis, regression model
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