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DOI: 10.14489/td.2026.05.pp.085-094
Лепшеев Е. А., Барат В. А., Елизаров С. В.
ИССЛЕДОВАНИЕ ОСОБЕННОСТЕЙ РАСПРОСТРАНЕНИЯ СИГНАЛОВ АКУСТИЧЕСКОЙ ЭМИССИИ МЕТОДОМ СЛОИСТЫХ ЭЛЕМЕНТОВ
(с. 85-94)
Аннотация. Основными объектами контроля для метода акустической эмиссии (АЭ) являются тонкостенные объекты – трубопроводы, сосуды и резервуары. Основной тип волн АЭ, распространяющихся в тонкостенных объектах, – это волны Лэмба. Вследствие дисперсионного распространения волн Лэмба и частотно-зависимого затухания форма и спектр сигнала АЭ существенно зависят от расстояния, пройденного сигналом по волноводу, что осложняет интерпретацию данных АЭ, так как влияние акустического трак-та маскирует влияние функции источника и затрудняет идентификацию характера повреждения объекта контроля. Проведено исследование совместного влияния параметров источника и параметров акустического тракта на форму сигналов АЭ. Исследование выполнено с помощью процедуры полуаналитического моделирования сигналов АЭ с различными параметрами источника и акустического тракта.
Ключевые слова: акустическая эмиссия, волны Лэмба, дальние сигналы, корреляция.
Lepsheev E. A., Barat V. A., Elizarov S. V.
INVESTIGATION OF ACOUSTIC EMISSION SIGNALS PROPAGATION FEATURES BY THE LAYERWISE METHOD
(pp. 85-94)
Abstract. The primary inspection objects for the acoustic emission (AE) method are thin-walled structures such as pipelines, pressure vessels, and storage tanks. The dominant type of AE waves propagating in thin-walled structures are Lamb waves. Owing to the characteristics of Lamb wave propagation, including dispersive behavior and frequency-dependent attenuation, the waveform and spectral content of AE signals strongly depend on the propagation distance along the waveguide. This significantly complicates the interpretation of AE data, since the influence of the acoustic transmission path masks the effect of the source function and hinders reliable identification of the damage mechanism in the inspected structure. In this work, the combined influence of source parameters and acoustic transmission path parameters on the AE signal waveform is investigated. The study is carried out using a semi-analytical modeling procedure for AE signals with various source and waveguide parameters.
Keywords: acoustic emission, Lamb waves, far-field signals, correlation.
Е. А. Лепшеев, В. А. Барат (ООО «Интерюнис-ИТ», ФГБОУ ВО НИУ «МЭИ», Москва, Россия) E-mail:
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С. В. Елизаров (ООО «Интерюнис-ИТ», Москва, Россия) E-mail:
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E. A. Lepsheev, V. A. Barat (“Interunis-IT” LLC, Moscow, Russia, National Research University “MPEI”, Мoscow, Russia) E-mail:
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S. V. Elizarov (“Interunis-IT” LLC, Moscow, Russia, National Research University “MPEI”, Мoscow, Russia) E-mail:
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1. Wadley, R. N. G., Scruby, C. B., & Shrimpton, G. (1981). Quantitative acoustic emission source characterisation during low temperature cleavage and intergranular fracture. Acta Metallurgica, 29(2), 399–414. https://doi.org/10.1016/0001-6160(81)90166-8
2. Downs, K. S., Hamstad, M. A., & O'Gallagher, A. (2003). Wavelet transform signal processing to distinguish different acoustic emission sources. Journal of Acoustic Emission, 21, 52–69.
3. Khalifa, W., Jezzine, K., Grondel, S., et al. (2012). Modeling of the far-field acoustic emission from a crack under stress. Journal of Acoustic Emission, 30, 137–152.
4. Zhang, Z., Pan, H., Wang, X., & Lin, Z. (2020). Machine learning-enriched Lamb wave approaches for automated damage detection. Sensors, 20(6), Article 1790. https://doi.org/10.3390/s20061790
5. Migot, A., Saaudi, A., & Giurgiutiu, V. (2024). Delamination depth detection in composite plates using the Lamb wave technique based on convolutional neural networks. Sensors, 24, Article 3118. https://doi.org/10.3390/s24103118
6. Zelenyak, A.-M., Hamstad, M. A., & Sause, M. G. R. (2015). Modeling of acoustic emission signal propagation in waveguides. Sensors, 15(5), 11805–11822. https://doi.org/10.3390/s150511805
7. Hamstad, M. A., & Gary, J. (2002). A wavelet transform applied to acoustic emission signals. Part 1. Source identification. Journal of Acoustic Emission, 20, 62–83.
8. Barat, V. A., & Lepsheev, E. A. (2025, April 8–10). Investigation of Lamb wave attenuation [Conference session]. Proceedings of the 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE 2025), Moscow, Russia. https://doi.org/10.1109/REEPE63962.2025.10970817
9. Ono, K. (2022). Experimental determination of Lamb-wave attenuation coefficients. Applied Sciences, 12, Article 6735. https://doi.org/10.3390/app12136735
10. Wang, L., & Yuan, F.-G. (2007). Group velocity and characteristic wave curves of Lamb waves in composites: Modeling and experiments. Composites Science and Technology, 67, 1370–1384. https://doi.org/10.1016/j.compscitech.2006.09.023
11. Ono, K. (2020). Dynamic viscosity and transverse ultrasonic attenuation of engineering materials. Applied Sciences, 10, Article 5265. https://doi.org/10.3390/app10155265
12. Hamstad, M. A. (2010). Frequencies and amplitudes of AE signals in a plate as a function of source rise time. Journal of Acoustic Emission, 28, 1–8.
13. Hamstad, M. A., O'Gallagher, A., & Gary, J. (2001). Effects of lateral plate dimensions on acoustic emission signals from dipole sources. Journal of Acoustic Emission, 19, 258–273.
14. Viktorov, I. A. (1966). Physical foundations of the application of ultrasonic Rayleigh and Lamb waves in engineering. Nauka. [in Russian language]
15. Obrist, D. (2009). Directivity of acoustic emissions from wave packets to the far field. Journal of Fluid Mechanics, 640, 165–186. https://doi.org/10.1017/S0022112009991297
16. Barat, V., Terentyev, D., Bardakov, V., & Elizarov, S. (2020). Analytical modeling of acoustic emission signals in thin-walled objects. Applied Sciences, 10(1), Article 279. https://doi.org/10.3390/app10010279
17. Bartoli, I., Marzani, A., Lanza di Scalea, F., & Viola, E. (2006). Modeling wave propagation in damped waveguides of arbitrary cross-section. Journal of Sound and Vibration, 295, 685–707. https://doi.org/10.1016/j.jsv.2006.01.021
18. Marzani, A., Viola, E., Bartoli, I., et al. (2008). A semi-analytical finite element formulation for modeling stress wave propagation in axisymmetric damped waveguides. Journal of Sound and Vibration, 318(3), 488–505. https://doi.org/10.1016/j.jsv.2008.04.028
19. Marzani, A., & Bartoli, I. (2009). High frequency waves propagating in octagonal bars: A low cost computation algorithm. Algorithms, 2(1), 227–246. https://doi.org/10.3390/a2010227
20. Marzani, A. (2008). Time-transient response for ultrasonic guided waves propagating in damped cylinders. International Journal of Solids and Structures, 45, 6347–6368. https://doi.org/10.1016/j.ijsolstr.2008.07.028
21. Barouni, A. K., & Saravanos, D. A. (2016). A layerwise semi-analytical method for modeling guided wave propagation in laminated and sandwich composite strips with induced surface excitation. Aerospace Science and Technology, 51, 118–141. https://doi.org/10.1016/j.ast.2016.01.023
22. Barouni, A. K., & Saravanos, D. A. (2017). A layerwise semi-analytical method for modeling guided wave propagation in laminated composite infinite plates with induced surface excitation. Wave Motion, 68, 56–77. https://doi.org/10.1016/j.wavemoti.2016.08.006
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