Composite Airplane Construction Acoustic Emission Testing During Static Loading

Barsuk, V. E.; Степанова, Л. Н.; Kabanov, S. I.

doi:10.14489/td.2018.04.pp.014-019

Cited by 9 publications

(1 citation statement)

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“…Thus opposite requirements for reduced weight and high safety promote using of the most high-tech solutions. For example, the aerospace considers acoustic emission [16][17][18][19][20], fiber-optic strain gauging [21][22][23], and other methods to be used in monitoring systems. Artificial neural networks are studied extensively to process raw data and provide efficient decision making.…”

Section: Introductionmentioning

confidence: 99%

Impact Damage Detection in Laminate and Honeycomb CFRPs using Lamb Wave Ultrasonic Sensing

Бурков

Еремин

Byakov

et al. 2021

Russ J Nondestruct Test

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The paper presents the results on application of Lamb waves based technique for impact damage detection and severity identification. The PZT network operates in the round-robin mode changing the actuator and sensor roles of the transducers in order to detect the response of the system in the presence of damage. The monitoring is performed via the analysis of three parameters: change of the amplitude (dA), change of the energy (dP) and cross-correlation (NCC) of the signals in baseline and damaged state. Testing of laminate CFRPs shows that the damage location is estimated with an error of 5–15 mm, while the computed Damage index is linearly dependent on the applied impact energy. For honeycomb CFRPs the NCC parameter do not provide accurate results, however, other parameters allow identification within the 5–20 mm error and reflect accurate data on the severity of the damage.

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