Investigation of the Staging of Damage Accumulation in Polymer Composite Materials during Bending and Tensile Tests

Bryansky, A. A.; Bashkov, O. V.; Malysheva, Daria P.; Solovev, Denis B.

doi:10.4028/www.scientific.net/kem.887.116

Cited by 3 publications

(2 citation statements)

References 12 publications

(19 reference statements)

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“…The obtained spectra were input to a self-organizing map. The number of output clusters (equal to 100 pieces) was selected empirically based on the reproducibility of clustering results, including for other types of mechanical tests [19]. Such number of clusters makes it possible to separate AE signals from formed damages of a mixed nature in the material and noise signals separately [12].…”

Section: Methodsmentioning

confidence: 99%

Identification of Acoustic Emission Sources in a Polymer Composite Material under Cycle Tension Loading

Bryansky¹,

Bashkov²,

Protsenko³

2021

Rev Adv Mater Tech

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The paper is devoted to identification damages which developing in the polymer composite material (PCM) structure during fatigue tests, based on the frequency components of the recorded acoustic emission (AE) signals. The objects of the study were specimens made of DION 9300 FR binder and 46 layers of T11- GVS9 fiberglass fabric. Mechanical tests were cyclic tension with AE recording. Fourier spectra for AE signals were calculated and used for the self-organizing Kohonen map (SOM) at the first stage of clustering. At the second stage, a k-means algorithm was used to find clusters with similar centroids and combine them. For the clusters obtained, their nature was determined from the peak frequencies and the periods of their critical accumulation were calculated. Additionally, the peak frequencies analysis of the wavelet decomposition levels was done.

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Section: Methodsmentioning

confidence: 99%

Identification of Acoustic Emission Sources in a Polymer Composite Material under Cycle Tension Loading

Bryansky¹,

Bashkov²,

Protsenko³

2021

Rev Adv Mater Tech

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“…For the recorded AE signals, the Fourier spectra were calculated, the analysis range of which was limited to the frequency range of 20-450 kHz [21]. To reduce the influence of the signal amplitude, spectrum normalization performed [22].…”

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confidence: 99%

Study of Thermal Aging of the PCM Using Acoustic Emission and Optical Microscopy

Bashkov

Bryansky

Solovev

2023

MSF

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This work presents results of a study of the influence assessment based on the recorded acoustic emission (AE) parameters of thermo-oxidative aging conditions on the destruction process of a polymer composite material (PCM). The objects of the study were specimens cut from a fiberglass reinforced plastic (FGRP) plate. The plate was made by vacuum infusion technique using Derakane 411-350 resin and 9 layers of St-62004 glass fabric. Specimens aging were done by holding in a muffle furnace for 96 hours at temperatures of 60, 100, 120, and 200 ° C. Mechanical test was the three-point static bending method. For the AE recording was used a hardware-software complex developed at KnASU. The AE signal Fourier spectra were two-stage clustered with the self-organizing Kohonen map according to the technique previously developed and tested by the authors. The types of the PCM structure damage were characterized by the obtained clusters centroids. The fracture process kinetics is described depending on the conditions of thermo-oxidative aging and based on the accumulation of clusters during mechanical tests. The negative influence of high temperatures on the polymer matrix degradation, leading to a decrease in the ability of the matrix to effectively distribute internal stresses over the PCM volume due to the adhesion corruption with the reinforcing material, has been established.

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Registration of Acoustic Emission Signals in Polymer Composite Material during Its Destruction by Means of Embedded Adaptive Fiber-Optic Sensor

Bashkov

Bryansky²,

Bezruk³

et al. 2022

Bull. Russ. Acad. Sci. Phys.

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Investigation of the Staging of Damage Accumulation in Polymer Composite Materials during Bending and Tensile Tests

Cited by 3 publications

References 12 publications

Identification of Acoustic Emission Sources in a Polymer Composite Material under Cycle Tension Loading

Identification of Acoustic Emission Sources in a Polymer Composite Material under Cycle Tension Loading

Study of Thermal Aging of the PCM Using Acoustic Emission and Optical Microscopy

Registration of Acoustic Emission Signals in Polymer Composite Material during Its Destruction by Means of Embedded Adaptive Fiber-Optic Sensor

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