Version 1
: Received: 10 December 2021 / Approved: 13 December 2021 / Online: 13 December 2021 (16:08:21 CET)
How to cite:
Bashkov, O.; Bryansky, A.; Efimov, T.; Romashko, R. Identification of Fatigue Damage Stages in Polymer Composite Materials by using Acoustic Emission: Approach and Perspectives. Preprints2021, 2021120214. https://doi.org/10.20944/preprints202112.0214.v1
Bashkov, O.; Bryansky, A.; Efimov, T.; Romashko, R. Identification of Fatigue Damage Stages in Polymer Composite Materials by using Acoustic Emission: Approach and Perspectives. Preprints 2021, 2021120214. https://doi.org/10.20944/preprints202112.0214.v1
Bashkov, O.; Bryansky, A.; Efimov, T.; Romashko, R. Identification of Fatigue Damage Stages in Polymer Composite Materials by using Acoustic Emission: Approach and Perspectives. Preprints2021, 2021120214. https://doi.org/10.20944/preprints202112.0214.v1
APA Style
Bashkov, O., Bryansky, A., Efimov, T., & Romashko, R. (2021). Identification of Fatigue Damage Stages in Polymer Composite Materials by using Acoustic Emission: Approach and Perspectives. Preprints. https://doi.org/10.20944/preprints202112.0214.v1
Chicago/Turabian Style
Bashkov, O., Timofey Efimov and Roman Romashko. 2021 "Identification of Fatigue Damage Stages in Polymer Composite Materials by using Acoustic Emission: Approach and Perspectives" Preprints. https://doi.org/10.20944/preprints202112.0214.v1
Abstract
The work is devoted to the study of the mechanisms of damage accumulation in a polymer composite material (PCM) during fatigue loading. Mechanical testing of a fiberglass sample was carried out by cyclic tension accompanied by registration of acoustic emission (AE). For the recorded AE signals, the Fourier spectra were calculated and used for clustering with Kohonen self-organizing map. Relations between clusters and types of damage in the PCM structure were established. The analysis of the peak frequencies of the Daubechies D14-wavelet components of AE signals was carried out. Obtained results has allows one to describe the processes of destruction in the PCM sample. It has been established that, on the base of local formation of microdamages in the matrix and the fracture of the fibers detected during recording of the AE data, it is possible to predict the destruction of the polymer composite material, while the beginning of a material destruction can be registered if the damage identified as an adhesion failure is observed. Perspectives of application of adaptive fiber-optic AE sensors for structural monitoring of PCMs on the base of preliminary experimental results are considered and discussed.
Chemistry and Materials Science, Polymers and Plastics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
