Abstract
The embedment of sensors within composite structures gives the opportunity to develop smart materials for health and usage monitoring systems. This study investigates the use of acoustic emission monitoring with embedded piezoelectric sensor during mechanical tests in order to identify the effects of introducing the sensor into the composite materials. The composite specimen with and without embedded sensor were subject to tensile static and fatigue loading. The analysis and observation of AE signals show that the integration of a sensor presents advantage of the detection of the acoustic events and also show the presence of three or four types of damage during tests. The incorporation of piezoelectric sensor has a negligible influence on the mechanical properties of materials.
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Monnier T., Jayet Y., Guy P.: P, JC. Baboux, the piezoelectric implant method: implementation and practical applications. Smart Mater. Struct. 9, 267–272 (2000)
Ihn J.B., Chang F.K.: Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: II. Validation using riveted joints and repair patches. Smart Mater. Struct. 13(621–630), (2004)
Yang S.M., Hung C.C., Chen K.H.: Design and fabrication of a smart layer module in composite laminated structures. Smart Mater. Struct. 14, 315–320 (2005). doi:10.1088/0964-1726/14/2/003
Lin M., Chang F.K.: The manufacture of composite structures with a built-in network of piezoceramics. Compos. Sci. Technol. 62, 919–939 (2002)
Côté F., Masson P., Mrad N., Cotoni V.: Dynamic and static modelling of piezoelectric composite structures using a thermal analogy with MSC/NASTRAN. Comp Struct. 65, 471–484 (2004)
Measures R.M.: Smart composite structures with embedded sensors. Compos. Eng. 2, 597–618 (1992)
Mall S.: Integrity of graphite/epoxy laminate embedded with piezoelectric sensor/actuator under monotonic and fatigue loads. Smart Mater. Struct. 11, 527–533 (2002)
Qing X.P., Beard S.J., Kumar A., Ooi T.K., Chang F.K.: Built-in sensor network for structural health monitoring of composite structure. J. Intell. Mater. Syst. Struct. 18, 39–49 (2007)
Kim K.-S., Breslauer M., Springer G.: The effect of embedded sensors on the strength of composite laminates. J. Reinf. Plast. Compos. 11, 949–958 (1992)
Shivakumar K., Emmanwori L.: Mechanics of failure of composite laminates with an embedded fiber optic sensor. J. Compos. Mater. 38(8), 669–680 (2004)
Ye L., Lu Y., Su Z., Meng G.: Functionalized composite structures for new generation airframes: a review. Compos. Sci. Technol. 65, 1436–1446 (2005)
E. F. Crawley and J. de Luis, Use of piezoelectric actuators as elements of intelligent structures. AIAA J. 25, 1373–1385 (1987)
Bronowicki A.J., McIntyre L.J., Betros R.S., Dvorsky G.R.: Mechanical validation of smart structures. Smart Mater. Struct. 5, 129–139 (1996)
Ghezzo F., Huang Y., Nemat-Nasser S.: Onset of resin micro-cracks in unidirectional glass fiber laminates with integrated SHM sensors: experimental results. Struct. Health Monit. 8(6), 477–491 (2009)
Ghezzo F., Starr A.F., Smith D.R.: Integradtion of networks of sensors and electronics for structural health monitoring of composite materials. Adv in Civ Eng. 2010, 1–13 (2010)
P. Gebski, L. Golaski and K. Ono, Acoustic emission monitoring of fatigue of glass-fiber wound pipes under biaxial loading, J. Acoustic Emission, 19 (2001)
Wenger M.P., Bianas P., Shuford R.J., Das-Gupta D.K.: Characterization and evaluation of piezoelectric composite bimorphs for ln-situ acoustic emission sensors. Polym. Eng. Sci. 39(3), 508–518 (1999)
El Guerjouma R., Baboux J.C., Ducret D., Godin N., Guy P., Huguet S., Jayet Y., Monnier T.: Non destructive evaluation of damage and failure of fiber reinforced polymer composites using ultrasonic waves and acoustic emission. Adv. Eng. Mater. 3, 601–608 (2001)
Barré S., Benzeggagh M.L.: On the use of acoustic emission to investigate damage mechanisms in glass-fiber reinforced polypropylene". Compos. Sci. Technol. 52, 369–376 (1994)
Godin N., Huguet S., Gaertner R.: Integration of the Kohonen’s self-organising map and k-means algorithm for the segmentation of the AE data collected during tensile tests on cross-ply composites". NDT&E Int. 38, 299–309 (2005)
Moevus M., Godin N., R’Mili M., Rouby D., Reynaud P., Fantozzi G., Farizy G.: Analysis of damage mechanisms and associated acoustic emission in two SiCf/[Si–B–C] composites exhibiting different tensile behaviours. Part II: Unsupervised acoustic emission data clustering",. Compos. Sci. Technol. 68, 1258–1265 (2008)
Marec A., Thomas J.H., El Guerjouma R.: Damage characterization of polymer-based composite materials: multivariable analysis and wavelet transform for clustering acoustic emission data. Mech. Syst. Signal Process. 22, 1441–1464 (2008)
Masmoudi S., El Mahi A., Turki S., El Guerjouma R.: Mechanical behaviour and health monitoring by Acoustic Emission of unidirectional and cross-ply laminates integrated by piezoelectric implant. Appl. Acoust. 86, 118–125 (2014)
Masmoudi S., El Mahi A., Turki S.: Fatigue behaviour and structural health monitoring by acoustic emission of E-glass/epoxy laminates with piezoelectric implant. Appl. Acoust. 108, 50–58 (2016)
Likas A., Vlassis N., Verbeek J.: The global k-means clustering algorithm. Pattern Recogn. 36, 451–461 (2003)
NOESIS software, Advanced Acoustic Emission Data Analysis Pattern Recognition and Neural Networks Software (2004)
Ferroperm Piezoceramics Catalogue (2003) http://www.ferroperm-piezo.com.
Nielsen A.: Acoustic emission source based on pencil lead breaking. Dan Welding Inst Publ. 80, 15 (1980)
Davies D.L., Bouldin D.W.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 1, 224–227 (1979)
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Masmoudi, S., El Mahi, A. & Turki, S. Effect of Piezoelectric Implant on the Structural Integrity of Composite Laminates Subjected to Tensile Loads. Appl Compos Mater 24, 39–54 (2017). https://doi.org/10.1007/s10443-016-9513-4
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DOI: https://doi.org/10.1007/s10443-016-9513-4