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Providing a reliable and universal Structural Health Monitoring (SHM) system allowing for remote aircraft inspections and a reduction of maintenance costs is a major challenge confronting the aerospace industry today. SHM based on guided Lamb waves is one of the approaches capable of addressing the issue while satisfying all the associated requirements. This paper presents a holistic approach to the continuous real time damage growth monitoring and early damage detection in aircraft structure. The main component of the system is a piezoelectric transducers (PZT) network. It is complemented by other SHM methods: Comparative Vacuum Monitoring (CVMTM) and Resistance Gauges at selected aircraft hot spots. The paper offers the description of damage detection capabilities including the analysis of data collected from the PZL-130 Orlik aircraft full-scale fatigue test.
Czasopismo
Rocznik
Tom
Strony
5--11
Opis fizyczny
Bibliogr. 8 poz., fot., rys., wykr., wzory
Twórcy
autor
- Air Force Institute of Technology, Warsaw, Poland
autor
- Air Force Institute of Technology, Warsaw, Poland
autor
- Air Force Institute of Technology, Warsaw, Poland
autor
- Air Force Institute of Technology, Warsaw, Poland
autor
- Air Force Institute of Technology, Warsaw, Poland
autor
- Air Force Institute of Technology, Warsaw, Poland
- University of Warmia and Mazury, Olsztyn, Poland
Bibliografia
- 1. Z. Su and L. Ye, Identification of Damage Using Lamb Waves, Springer-Verlag, Germany, 2009.
- 2. D.N. Alleyne and P. Cawley, The excitation of Lamb waves in pipes using dry-coupled piezoelectric transducers, J. Nondestruct. Eval. Vol. 15(1) (1996), p. 11.
- 3. P.S. Tua, S.T. Quek and Q. Wang, Detection of cracks in cylindrical pipes and plates using piezo-actuated Lamb waves, Smart Mater. Struct. Vol. 14 (2005), p. 1325.
- 4. Y. H. Kim, D.H. Kim, J.H. Han and C.G. Kim, Damage assessment in layered composites using spectral analysis and Lamb wave, Compos. Part B-Eng. Vol. 38 (2007), p. 800.
- 5. Z. Su, L. Ye and Y. Lu, Guided Lamb waves for identification of damage in composite structures: a review, J. Sound Vib. Vol. 295 (2006), p. 753.
- 6. Q.W. Wang and B.X. Sun, Structural damage localization and quantification using static test data, Struct. Health Monit. Vol. 10(4) (2010), p. 381.
- 7. T.R. Hay, R.L. Royer, H. Gao, X. Zhao and J.L. Rose , A comparison of embedded sensor Lamb wave ultrasonic tomography approaches for material loss detection, Smart Mater. Struct. Vol. 15(4) (2006), p. 946.
- 8. D. Wang, L. Ye, Y. Lu and Z. Su, Probability of the presence of damage estimated from an active sensor network in a composite panel of multiple stiffeners, Compos. Sci. Technol. Vol. 69(13) (2009), p. 2054.
Uwagi
EN
This work was partly supported with the European Union funds by the European Social Fund through the Project "Rozwój nauki - rozwojem regionu - stypendia i wsparcie towarzyszące dla mazowieckich doktorantów".
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-daa70663-9510-4066-a38b-ec4872d3bee1