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Optical sensing of the fatigue damage state of CFRP under realistic aeronautical load sequences

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2015-03-09
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MDPI AG
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Abstract: We present an optical sensing methodology to estimate the fatigue damage stateof structures made of carbon fiber reinforced polymer (CFRP), by measuring variations on the surface roughness. Variable amplitude loads (VAL), which represent realistic loads during aeronautical missions of fighter aircraft (FALSTAFF) have been applied to coupons until failure. Stiffness degradation and surface roughness variations have been measured during the life of the coupons obtaining a Pearson correlation of 0.75 between both variables. The data were compared with a previous study for Constant Amplitude Load (CAL) obtaining similar results. Conclusions suggest that the surface roughness measured in strategic zones is a useful technique for structural health monitoring of CFRP structures, and that it is independent of the type of load applied. Surface roughness can be measured in the field by optical techniques such as speckle, confocal perfilometers and interferometry, among others.
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1. Baker, A.; Dutton, S.; Kelly, D. Composite Materials for Aircraft Structures, 2nd ed.; AIAA: Reston, VA, USA, 2004. 2. Boller, C.; Staszewski, W. Aircraft Structural Health and Usage Monitoring. In Health Monitoring of Aerospace Structures: Smart Sensors Technologies and Signal processing; Staszewski, W., Boller, C., Tomlinson, G., Eds.; John Wiley & Sons Ltd: West Sussex, UK, 2004; pp. 29–74. 3. Sonsino, C.M. Fatigue testing under variable amplitude loading. Int. J. Fatigue 2007, 29, 1080–1089. 4. Post, N.L.; Case, S.W.; Lesko, J.J. Modeling the variable amplitude fatigue of composite materials: A review and evaluation of the state of the art for spectrum loading. Int. J. Fatigue 2008, 30, 2064–2086. 5. Epaarachchi, J.A. A study on estimation of damage accumulation of glass fibre reinforce plastic (GFRP) composites under a block loading situation. Compos. Struct. 2006, 75, 88–92. 6. Zuluaga-Ramírez, P.; Frövel, M.; Arconada, Á.; Belenguer, T.; Salazar, F. Evaluation of the Fatigue Linear Damage Accumulation Rule for Aeronautical CFRP Using Artificial Neural Networks. Adv. Mater. Res. 2014, 1016, 8–13. 7. Highsmith, A.L.; Reifsnider, K.L. Stiffness reduction mechanisms in composite laminates. In Damage of Composite Materials, ASTM STP 775; Reifsnider, K.L., Ed.; American Society for Testing and Materials: Philadelphia, PA, USA, 1982; pp. 103–117. 8. Whitworth, H.A. A stiffness degradation model for composite laminates under fatigue loading. Compos. Struct. 1997, 40, 95–101. 9. Van Paepegem, W.; Degrieck, J. Coupled residual stiffness and strength model for fatigue of fibre-reinforced composite materials. Compos. Sci. Technol. 2002, 62, 687–696. 10. Adden, S.; Pfleiderer, K.; Solodov, I.; Horst, P.; Busse, G. Characterization of stiffness degradation caused by fatigue damage in textile composites using circumferential plate acoustic waves. Compos. Sci. Technol. 2008, 68, 1616–1623. 11. Dzenis, Y.A. Cycle-based analysis of damage and failure in advanced composites under fatigue: 1. Experimental observation of damage development within loading cycles. Int. J. Fatigue 2003, 25, 499–510. 12. Ahsan, M.; Han, X.; Islam, S.; Newaz, G. Fatigue damage detection in graphite/epoxy composites using sonic infrared imaging technique. Compos. Sci. Technol. 2004, 64, 657–666. 13. Dattoma, V.; Giancane, S. Evaluation of energy of fatigue damage into GFRC through digital image correlation and thermography. Compos. Part B Eng. 2013, 47, 283–289. 14. Wang, X.; Chung, D.D.L. Self-monitoring of fatigue damage and dynamic strain in carbon fiber polymer-matrix composite. Compos. Part B: Eng. 1998, 29, 63–73. 15. Giancane, S.; Panella, F.W.; Nobile, R.; Dattoma, V. Fatigue damage evolution of fiber reinforced composites with digital image correlation analysis. Procedia Eng. 2010, 2, 1307–1315. 16. Withers, P.J.; Preuss, M. Fatigue and damage in structural materials studied by X-ray tomography. Annu. Rev. Mater. Res. 2012, 42, 81–103. 17. Zuluaga, P.; Frövel, M.; Restrepo, R.; Trallero, R.; Atienza, R.; Pintado, J.M.; Belenguer T.; Salazar, F. Consumed Fatigue Life Assessment of Composite Material Structures by Optical Surface Roughness Inspection. Key Eng. Mater. 2013, 569–570, 88–95. 18. Zuluaga-Ramírez, P.; Frövel, M.; Belenguer, T.; Salazar, F. Non contact inspection of the fatigue damage state of carbon fiber reinforced polymer by optical surface roughness measurements. NDT E Int. 2015, 70, 22–28. 19. Bhushan, B. Surface Roughness Analysis and Measurement Techniques. In Modern Tribology Handbook. Bhushan B, Ed.; CRC Press: Boca Raton, FL, USA, 2000; Volume 1, pp. 49–120. 20. UNE EN ISO 4287:1999. Geometrical Product specifications (GPS)—Surface Texture: Profile Method—Terms, Definitions and Surface Texture; AENOR: Madrid, Spain, 1999. 21. Ruffing, B. Application of speckle-correlation methods to surface-roughness measurement: A theoretical study. J. Opt. Soc. Am. A 1986, 3, 1297–1304. 22. Salazar, F.; Belenguer, T.; García, J.; Ramos, G. On roughness measurement by angular speckle correlation. Metrol. Measur. Syst. 2012, 19, 373–380. 23. IHS ESDU 97018. Standard Fatigue Loading Sequences; ESDU International plc: London, UK,1999; pp. 5–13.
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