Publication:
Surface irregularity factor as a parameter to evaluate the fatigue damage state of CFRP

Loading...
Thumbnail Image
Full text at PDC
Publication Date
2015-11-11
Authors
Zuluaga Ramírez, Pablo
Frövel, Malte
Salazar, Felix
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI AG
Citations
Google Scholar
Research Projects
Organizational Units
Journal Issue
Abstract
This work presents an optical non-contact technique to evaluate the fatigue damage state of CFRP structures measuring the irregularity factor of the surface. This factor includes information about surface topology and can be measured easily on field, by techniques such as optical perfilometers. The surface irregularity factor has been correlated with stiffness degradation, which is a well-accepted parameter for the evaluation of the fatigue damage state of composite materials. Constant amplitude fatigue loads (CAL) and realistic variable amplitude loads (VAL), representative of real in- flight conditions, have been applied to “dog bone” shaped tensile specimens. It has been shown that the measurement of the surface irregularity parameters can be applied to evaluate the damage state of a structure, and that it is independent of the type of fatigue load that has caused the damage. As a result, this measurement technique is applicable for a wide range of inspections of composite material structures, from pressurized tanks with constant amplitude loads, to variable amplitude loaded aeronautical structures such as wings and empennages, up to automotive and other industrial applications.
Description
Received: 18 September 2015 / Accepted: 30 October 2015 / Published: 11 November 2015 Este artículo pertenece al Número Especial: "Failure analysis in materials".
Keywords
Citation
1. 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. 2. 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. 3. 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. 4. 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. 5. 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: Conshohocken, PA, USA, 1982; pp. 103–117. 6. Whitworth, H.A. A stiffness degradation model for composite laminates under fatigue loading. Compos. Struct. 1997, 40, 95–101. 7. 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. 8. 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. 9. Giancane, S.; Panella, F.W.; Nobile, R.; Dattoma, V. Fatigue damage evolution of fiber reinforced composites with digital image correlation analysis. Proced. Eng. 2010, 2, 1307–1315. 10. Dattoma, V.; Giancane, S. Evaluation of energy of fatigue damage into GFRC through digital image correlation and thermography. Compos. B Eng. 2013, 47, 283–289. 11. 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. 12. Withers, P.J.; Preuss, M. Fatigue and damage in structural materials studied by X-ray tomography. Annu. Rev. Mater. Res. 2012, 42, 81–103. 13. Wang, X.; Chung, D.D.L. Self-monitoring of fatigue damage and dynamic strain in carbon fiber polymer-matrix composite. Compos. B Eng. 1998, 29, 63–73. 14. 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. 15. 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. 16. Zuluaga-Ramírez, P.; Arconada, Á.; Frövel, M.; Belenguer, T.; Salazar, F. Optical sensing of the fatigue damage state of CFRP under realistic aeronautical load sequences. Sensors 2015, 15, 5710–5721. 17. Gordienko, Y.G.; Zasimchuk, E.E.; Gontareva, R.G. Unconventional deformation modes and surface roughness evolution in Al single crystals under restricted cyclic tension conditions. J. Mater. Sci. Lett. 2002, 21, 1713–1716. 18. Wang, L.; Wang, Z.; Xie, W.; Song, X. Fractal study on collective evolution of short fatigue cracks under complex stress conditions. Int. J. Fatigue 2012, 45, 1–7. 19. Sonsino, C.M. Fatigue testing under variable amplitude loading. Int. J. Fatigue 2007, 29, 1080–1089. 20. Rice, S.O. Mathematical Analysis of Random Noise. Bell Syst. Tech. J. 1944, 23, 282–332. 21. Rice, S.O. Mathematical Analysis of Random Noise. Bell Syst. Tech. J. 1945, 24, 46–156. 22. Petrucci, G.; Zuccarello, B. Fatigue life prediction under wide band random loading. Fatigue Fract. Eng. Mater. Struct. 2004, 27, 1183–1195. 23. Engineering Sciences Data Unit (ESDU). IHS ESDU 97018, Standard Fatigue Loading Sequences; ESDU: London, UK, 1999; pp. 5–13. 24. Heuler, P.; Klätschke, H. Generation and use of standardised load spectra and load-time histories. Int. J. Fatigue 2005, 27, 974–990.
Collections