Email this article 
EFFECTIVENESS OF THE JOINT APPLICATION OF ACOUSTIC EMISSION AND VIBRATION DIAGNOSTICS IN ASSESSING THE LOAD-LOADING CAPACITY OF A COMPOSITE SAMPLE
- Authors: Makhutov N.A.1, Matvienko Y.G.1, Vasil’ev I.E.1, Fursov V.Y.1
-
Affiliations:
- Mechanical Engineering Research Institute of the Russian Academy of Sciences
- Issue: Vol 71, No 6 (2025)
- Pages: 892–906
- Section: ФИЗИЧЕСКИЕ ОСНОВЫ ТЕХНИЧЕСКОЙ АКУСТИКИ
- URL: https://ogarev-online.ru/0320-7919/article/view/375999
- DOI: https://doi.org/10.7868/S3034500625060125
- ID: 375999
Cite item
Open Access
Access granted
Subscription Access
Abstract
The effectiveness of using acoustic emission diagnostics in conjunction with vibration diagnostics and video recording to assess the load-bearing capacity of a composite sample, as well as to identify the mechanisms of the evolution of its destruction under compression, has been studied. Before the compression test, a sample made of multilayer high-strength carbon fiber plastic was subjected to impact action with an energy of 90 J in the central part. Before the occurrence of developing macrodamages in the structure of the material, the amplitude spectra recorded during vibration diagnostics remained practically constant. The picture changed sharply with the emergence and development of macrodamages, which was reflected by the scalogram of the recorded vibration signal emissions at the characteristic stages of the evolution of the destruction of laminated carbon fiber reinforced plastic. The dynamics of changes in the peak frequencies of local maxima of the amplitude spectra of vibration signals generated by the processes of collapse of the ends of the sample, its delamination, local buckling during deflection, and breakage of layers with increasing compressive load until the load-bearing capacity of the carbon fiber plastic is lost has been studied. The use of vibration diagnostics in conjunction with video recording made it possible not only to verify the results of acoustic emission diagnostics to assess the level of load-bearing capacity of layered carbon fiber reinforced plastic, but also to monitor the kinetics of macro-damage in its structure.
About the authors
N. A. Makhutov
Mechanical Engineering Research Institute of the Russian Academy of SciencesMoscow, Russia
Yu. G. Matvienko
Mechanical Engineering Research Institute of the Russian Academy of SciencesMoscow, Russia
I. E. Vasil’ev
Mechanical Engineering Research Institute of the Russian Academy of Sciences
Email: vie01@rambler.ru
Moscow, Russia
V. Yu. Fursov
Mechanical Engineering Research Institute of the Russian Academy of SciencesMoscow, Russia
References
- Иванов В.И., Барат В.А. Акустико-эмиссионная диагностика. М.: Спектр, 2017. 368 с.
- Бигус Г.А., Даниев Ю.Ф., Быстрова Н.А., Галкин Д.И. Основы диагностики технических устройств и сооружений. M.: Издательство МГТУ им. Н.Э. Баумана, 2015. 445 с.
- Pollock A. Acoustic emission testing. Metals handbook. Ed. Pollock A. 9 ed. AST International. 1989. V. 17. P. 278–294.
- Ono K. Acoustic Emission in Materials Research – A Review // J. Acoust. Emission. 2011. V. 29. P. 284–308.
- Ono K. Amplitude distribution analysis of acoustic emission signals // Material evolution. 1976. V. 34. P. 177–184.
- Шилова А.И., Вильдеман В.Э., Лобанов Д.С., Лямин Ю.Б. Исследование механизмов разрушения углеродных композиционных материалов на основе механических испытаний с регистрацией сигналов акустической эмиссии // Вестник ПНИПУ. 2013. № 4. С. 169–179.
- Vinogradov A. Signatures of plastic instabilities and strain localization in acoustic emission time-series // Metals. 2025. V. 15. P. 46. https://doi.org/ 10.3390/met15010046
- Carpinteri A., Lacidogna G., Pugno N. Structural damage diagnosis and life-time assessment by acoustic emission monitoring // Eng. Fract. Mech. 2007. V. 74. Nо 1. P. 273–289.
- Ботвина Л.Р., Болотников А.И., Тютин М.Р. Оценка характеристик множественного и локализованного разрушения методами акустической эмиссии и корреляции цифровых изображений // Металлы. 2024. № 1. С. 65–73. https://doi.org/10.31857/S0869573324016573
- Casals B., Dahmen K.A., Gou B., Rooke S., Salje E.K. The duration-energy-size enigma for acoustic emission // Sci. Rep. 2021. 11. 5590. https://doi.org/10.1038/s41598-021-84688-7
- Fowler T.J., Blessing I.A., Conlisk P.J. and Swanson T.L. The Monpack System // J. Acoust. Emission. 1989. V. 8. No 3. P. 3–13.
- Baral M., Al-Jewad A., Breunig A., Groche P., Ha J., Korkolis Y.P., Kinsey B.L. Acoustic emission monitoring for necking in sheet metal forming // J. Mater. Process. Technol. 2022. 310. 117758. https://doi.org/ 10.1016/matprotec.2022.117758
- Louda P., Sharko A., Stepanchikov D. An acoustic emission method for assessing the degree of degradation of mechanical properties and residual life of metal structures under complex dynamic deformation stresses // Materials. 2021. V. 14. 2090. https://doi.org/10.3390/ma14092090
- Yu J.H., Yoon J.S., Choi I.G., Kang J.S., Chung W., Lee C.W. Analysis and Clustering of Acoustic Emission Signals in the Tensile Deformation of AZ31B // Met. Mater. Int. 2025. V. 31. Р. 676–691. https://doi.org/10.1007/s12540-024-01771-0
- Sikdar S., Liu D., Kundu A. Acoustic emission data based deep learning approach for classification and detection of damage-sources in a composite panel // Composites Part B. 2022. V. 228. 109450. https://doi.org/10.1016/j.compositesb.2021.109450
- Jie Huang, Qianting Hu, Zhenlong Song, Gongheng Zhang, Chao-Zhong Qin, Mingyang Wu, Xiaodong Wang. Classification of cracking sources of different engineering media via machine learning // Fatigue & Fracture of Engineering Materials & Structure. 2021. No 6. P. 1–14. https://doi.org/10.1111/ffe.13528
- Kundu A., Sikdar S., Eaton M., Navaratne R. A generic framework for application of machine learning in acoustic emission-based damage identification // Proc. of the 13th Int. conf. on damage assessment of structures. Singapore. Springer. 2020. Р. 244–262. https://doi.org/10.1007/978-981-13-8331-1_18
- Безопасность России. Правовые, социально-экономические и научно-технические аспекты. Анализ переходов сложных систем в опасные состояния. Под ред. чл.-корр. РАН Махутова Н.А. М.: Знание, 2025. 688 с.
- Способ мониторинга несущей способности изделия: патент № 2787964 РФ / Васильев И.Е., Матвиенко Ю.Г., Чернов Д.В., Махутов Н.А., Елизаров С.В.; заявл. 31.01.22; опубл. 13.01.23. Бюлл. № 2.
- Васильев И.Е. Комплексное определение деформированного, поврежденного и предельного состояния при механическом воздействии / Дис. . . . доктора техн. наук. М.: МГТУ им. Н.Э. Баумана, 2024. 331 с.
- Махутов Н.А., Васильев И.Е., Фурсов В.Ю., Скворцов Д.Ф. Комплексное применение методов акустической эмиссии и вибродиагностики при статических испытаниях образцов на растяжение с комбинированным концентратором // Проблемы машиностроения и автоматизации. 2024. № 4. С. 86–92.
- Дьяконов В.П. Вейвлеты. От теории к практике. М: Солон-Пресс, 2015. 400 с.
- Mallat S.G. A Wavelet Tour of Signal Processing. The Sparse Way. Elsevier: Academic Press, 2009. 805 p.
- Гулай А.В., Зайцев В.М. Интеллектная технология вейвлет-анализа вибрационных сигналов // Доклады БГУИР. Минск: Белорусский государственный университет информатики и радио-электроники. 2019. Т. 126. № 7–8. С. 101–108.
Supplementary files
