Investigation of Acoustic Parameters for Structural Health Monitoring of Sandwich Panel under Cyclic Load

Alexander V. Eremin; Mikhail V. Burkov; Anton V. Byakov; Pavel S. Lyubutin; Sergey Panin; Stepan A. Khizhnyak

doi:10.4028/www.scientific.net/KEM.712.319

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 712Investigation of Acoustic Parameters for...

Investigation of Acoustic Parameters for Structural Health Monitoring of Sandwich Panel under Cyclic Load

Abstract:

The paper is devoted to investigation of ultrasonic signal properties and their changes during cyclic loading of CFRP sandwich panels with aluminum honeycomb core. In order to estimate the mechanical state of the composite structures the Lamb wave based technique is proposed. Acoustic signals are generated and sensed by piezoelectric transducers adhesively bonded on the specimen surface. Sensed signals are analyzed by computing the set of informative parameters which characterize ultrasonic signals evolution during cyclic tests. The paper represents the results allowing identification of three stages of fatigue damaging and failure for two specimens subjected to tensile-compressive loading.

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Periodical:

Key Engineering Materials (Volume 712)

Pages:

319-323

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.712.319

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Online since:

September 2016

Authors:

Alexander V. Eremin*, Mikhail V. Burkov, Anton V. Byakov, Pavel S. Lyubutin, Sergey Panin, Stepan A. Khizhnyak

Keywords:

CFRP, Fatigue, Guided Ultrasonic Waves, Sandwich Panel, Structural Health Monitoring

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References

[1] A.S. Islam, K.C. Craig, Damage detection in composite structures using piezoelectric materials, Smart Mater. Struct. 3 (1994) 318–328.

DOI: 10.1088/0964-1726/3/3/008

Google Scholar

[2] C. Ramadas et al, Lamb wave based ultrasonic imaging of interface delamination in a composite T-joint, NDT&E International 44 (2011) 523–530.

DOI: 10.1016/j.ndteint.2011.05.009

Google Scholar

[3] I. Najarre, E. Kostson, P. Fromme, Guided ultrasonic waves for the monitoring of hidden fatigue crack growth in multi-layer aerospace structures, Health Monitoring of Structural and Biological Systems 9064 (2014) 1–7.

DOI: 10.1117/12.2046304

Google Scholar

[4] C. Ramadas, K. Balasubramaniam, M. Joshi, C.V. Krishnamurthy, Interaction of the primary anti-symmetric Lamb mode (Ao) with symmetric delaminations: numerical and experimental studies, Smart Mater. Struct. 18 (2009) 1–7.

DOI: 10.1088/0964-1726/18/8/085011

Google Scholar

[5] N. Guo, P. Cawley, Lamb waves for NDE of composite laminates, Review of progress in quantitative non-destructive evaluation 11 (1993) 1443–1450.

Google Scholar

[6] Z. Su, L. Cheng, X. Wang, L. Yu, C. Zhou, Predicting delamination of composite laminates using an imaging approach, Smart Mater. Struct. 18 (2009) 1-8.

DOI: 10.1088/0964-1726/18/7/074002

Google Scholar