Acoustic emission pattern recognition approach based on Hilbert–Huang transform for structural health monitoring in polymer-composite materials

Hamdi, Seif Eddine; Duff, Alain Le; Simon, Laurent; Plantier, Guy; Sourice, Anthony; Feuilloy, Mathieu

doi:10.1016/j.apacoust.2012.11.018

Cited by 110 publications

(64 citation statements)

References 35 publications

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“…AE energy advantage is able to reflect the signal amplitude and duration, and is not sensitive to the signal frequency and voltage threshold [7,8,9] . (1) Acoustic emission energy relationship with （2） Acoustic emission ringing count relations load level with load level Fig.…”

Section: The Experimental Results and Analysis：mentioning

confidence: 99%

The analysis of the prestressed concrete beam damage process based on the acoustic emission

You-shun¹,

Liu²

2015

Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015

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Abstract. The use of acoustic emission technology of prestressed concrete beams damage monitoring research, obtained the prestressed concrete beam damage acoustic emission monitoring of real-time data; according to the value of the acoustic emission energy parameters of acoustic emission, reveals that the bearing capacity of concrete beams down cause and the damage mechanism; In addition, through calculation of the characteristics of acoustic emission signal Kurtosis index, observe the damage evolution process of prestressed concrete beam, determine the reinforced concrete beam damage stage.Late as well as further on the long-term health of the reinforced concrete structure damage active monitoring to provide theoretical basis.

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Section: The Experimental Results and Analysis：mentioning

confidence: 99%

The analysis of the prestressed concrete beam damage process based on the acoustic emission

You-shun¹,

Liu²

2015

Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015

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“…Aggelis et al, 2013;Drozdov, 2013Drozdov, , 2014Maillet et al, 2014;Mei et al, 2013;Yonezu and Chen, 2014), polymers (e.g. Berdowski et al, 2013;Boominathan et al, 2014;Burks and Kumosa, 2014;Fu et al, 2014;Hamdi et al, 2013;Njuohvic et al, 2014;Sause et al, 2013), and concrete (e.g. ElBatanouny et al, 2014;Elfergani et al, 2013;Hu et al, 2013;Itturrioz et al, 2013;Kawasaki et al, 2013;Kencanawati et al, 2013;Ohno et al, 2014;Shahidan et al, 2013;Zhu et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

A new method to estimate location and slip of simulated rock failure events

2015

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“…matrix and fibre cracking, debonding, etc. With the development of advanced signal processing methods, the wavelet [14][15][16][17][18] and Hilbert-Huang [19][20][21] transforms and fractal analysis [22] started to be popular in such classifications due to the non-stationary character of measured AE signals and high sensitivity of these analysis methods to small changes and disturbances in an analysed signal. An application of these advanced methods allows for determination of characteristic frequency ranges for particular damage types.…”

Section: Introductionmentioning

confidence: 99%

Characterization of damage evolution during fatigue of composite structures accompanied with self-heating effect by means of acoustic emission

Katunin¹

2018

J. vibroeng.

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Due to the increasing use of composite materials for load-carrying structures that subjected to high-magnitude cyclic loading or vibrations, it is essential to investigate the accompanying phenomena occurring during structural degradation. The phenomenon, which may significantly accelerate structural degradation is the self-heating effect, causing intensive heating due to mechanical energy dissipation. In order to prevent sudden degradation of composite structures it is essential to characterize occurring damage types and their evolution during fatigue process. In this paper, the determination of fracture mechanisms during fatigue loading was performed based on acoustic emission analysis. The obtained results allow for clustering of acoustic emission data by type of occurring damage and correlate it with accompanying self-heating appeared during loading. This allows for proper understanding of physics of observed phenomena, which may help in design and operation of composite structures subjected to fatigue loading accompanied with self-heating effect.

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Acoustic emission pattern recognition approach based on Hilbert–Huang transform for structural health monitoring in polymer-composite materials

Cited by 110 publications

References 35 publications

The analysis of the prestressed concrete beam damage process based on the acoustic emission

The analysis of the prestressed concrete beam damage process based on the acoustic emission

A new method to estimate location and slip of simulated rock failure events

Characterization of damage evolution during fatigue of composite structures accompanied with self-heating effect by means of acoustic emission

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