Cluster analysis of acoustic emission signals and infrared thermography for defect evolution analysis of glass/epoxy composites

Zhang, Yanan; Zhou, Bo; Yu, Feng; Chen, Changzheng

doi:10.1016/j.infrared.2020.103581

Cited by 23 publications

(12 citation statements)

References 36 publications

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“…A similar phenomenon was reported by Zhang. 37,38 Highfrequency AE signals appear in specimens A and B when they are loaded to 6.61 and 5.47 kN, respectively, which indicates that fiber breakage occurred in these specimens. When subjected to tensile loads, the initial microcracks in composite specimens propagate in the direction perpendicular to the stress.…”

Section: Ae Signal Clustering Analysismentioning

confidence: 99%

Quantitative assessment of damage evolution of carbon fiber‐reinforced polymer laminates embedded with different nanoparticles using acoustic emission

Zhou

Yang

et al. 2021

J of Applied Polymer Sci

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Nanoparticles can be used to optimize the interface structure and improve the mechanical properties of fiber‐reinforced composites. Herein, the damage evolution of carbon fiber‐reinforced composites embedded with different nanoparticles has been investigated using acoustic emission (AE) technology. Principal component analysis is used to reduce the dimension of AE parameters. Combining fuzzy C‐means (FCM) clustering with hierarchical clustering can improve the clustering quality, which is helpful to apply FCM results to the quantitative evaluation of damage. For multiwalled carbon nanotubes, graphene, and cellulose nanofibres, the cumulative AE energy of matrix cracking increases by 39.29%, 51.12%, and 53.69%, respectively, that of fiber/matrix debonding increases by 13.5%, 118.5% and 56.58%, and that of fiber breakage decreases by 97.9%, 94.32%, and 87.6%, respectively. The addition of nanoparticles helps to improve the stiffness and toughness of epoxy resin, and restricts crack propagation, thus enhancing the interfacial properties. AE technology can successfully help quantitatively evaluate the damage behavior and the mechanism of different multiscale reinforced composites. AE characteristic responses within the composites are consistent with scanning electron microscopy results.

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Section: Ae Signal Clustering Analysismentioning

confidence: 99%

Quantitative assessment of damage evolution of carbon fiber‐reinforced polymer laminates embedded with different nanoparticles using acoustic emission

Zhou

Yang

et al. 2021

J of Applied Polymer Sci

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“…Cluster analysis of AE signals in combination with infrared thermography was used in [ 32 ] to analyze the evolution of defects in glass–epoxy composites. When analyzing AE signals, the k-means method and the principal component method were used.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Theoretical Study of Plastic Deformation of Epoxy Coatings on Metal Substrates Using the Acoustic Emission Method

et al. 2022

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Propagation of acoustic emission signals in continuous conjugated media under real-time loading was explored. The results of explored plastic deformation polymer coatings on a metal base using the acoustic emission method with synchronization of deformations and the moments of occurrence of acoustic emission signals are presented. Using the principal component method, the acoustic emission spectra, which make it possible to trace the evolution of deformation transformation processes, were analyzed. Presented the results of theoretical and experimental studies on the separate propagation of acoustic emission vibrations in a polymer coating, a metal base, and their joint combination in the form of multilayer structures. Boundary problems of propagation of acoustic emission signals in the conjugation of continuous media are considered from the standpoint of an elastic continuum and wave representations. The main variables are the force that initiates the appearance of acoustic emission signals and the displacement that determines the propagation of elastic waves. Based on the local rearrangement of the internal structure of conjugated media under conditions of development of deformation processes in the material, the verification of the main theoretical models of energy spectrum acoustic signals in continuous media at the micro-, meso-, and macro-levels was carried out. In this work, we present experimental data on a set of basic acoustic emission characteristics for four-point bending. It is shown that the principal components method reduces the dimension of data while maintaining the least amount of new information. Using the method of principal components to determine the stages of plastic deformation of polymer coatings on a metal base using the acoustic emission method. With the digitalization of acoustic emission signals and noise filtering, new possibilities for isolating a weak signal at the noise level appear even when its amplitude is significantly lower than the noise level. The study results can be used to predict the degree of destruction of two-layer materials under loading.

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“…The freeze-thaw deterioration (Nicholson et al, 2000;Bayram, 2012;Freire-Lista et al, 2015;Ghobadi et al, 2015;Gao et al, 2020;Wang et al, 2021;Li et al, 2022) and fatigue (e.g. earthquake and blasting) deterioration (Attewell and Farmer, 1973;Xiao et al, 2011;Zhou et al, 2021;Cui et al, 2021) of various types of rock including sandstone, limestone and granite are widely studied. The joint effect of freeze-thaw-fatigue (FTF) sees worse results in rock deterioration than the singular free-thaw effect or fatigue effect (Shan and Liao, 2002;Cai et al, 2020a;Song et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Infrared and acoustic emission information is of homologous anomalies as both of them are results of damage, which makes it difficult to identify the omens of rock damage correctly by single information source based on the corresponding phenomenon (temporal and spatial) relationship. Besides, acoustic emission signals are easily polluted by outside noise and thermal infrared wave cannot easily position the damage inside rock (Zhang et al, 2021). But the problem can be solved by link up and integrate the two independent information together.…”

Section: Introductionmentioning

confidence: 99%

Study on the acoustic emission and thermal infrared signal characteristics of granite with freeze-thaw damage in cycle loading process

et al. 2022

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Acoustic emission and thermal infrared signals are related to the process of rock breaking. In this paper, the acoustic emission and thermal infrared signals of rock are obtained during the loading process of indoor granite freeze-thaw cycle test and uni-axial compression test. Then the acoustic emission signals sent out during rock breaking are analyzed by short-time Fourier transform to get the peak frequency. infrared radiation thermographic sensor is applied to monitor and record the temperature change on the surface of rock so as to get the influence of thermal infrared radiation characteristics during rock materials deformation and breaking. Under the same axial stress, the samples passing through more freeze-thaw cycles have higher surface temperature. Both acoustic emission and thermal infrared temperature show that tensile failure is the main failure factor to granite samples. As freeze-thaw effect results in more micro fissures inside rock, the granite samples develop in the tendency of large breakage increases and small breakage decreases. This phenomenon shows that freeze-thaw cycle could restrict the heat release of granite sample.

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Cluster analysis of acoustic emission signals and infrared thermography for defect evolution analysis of glass/epoxy composites

Cited by 23 publications

References 36 publications

Quantitative assessment of damage evolution of carbon fiber‐reinforced polymer laminates embedded with different nanoparticles using acoustic emission

Quantitative assessment of damage evolution of carbon fiber‐reinforced polymer laminates embedded with different nanoparticles using acoustic emission

Experimental and Theoretical Study of Plastic Deformation of Epoxy Coatings on Metal Substrates Using the Acoustic Emission Method

Study on the acoustic emission and thermal infrared signal characteristics of granite with freeze-thaw damage in cycle loading process

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