Abstract
The main objective of this preliminary investigation is to identify and characterize the damage evolution of angle ply ([±45]16) flax-reinforced epoxy composites using an energy-based damage model combined with Scanning Electron Microscopy (SEM) observations. The damage model’s parameters for the flax-reinforced epoxy composite were determined from quasi-static and fatigue tests. The preliminary results showed that the energy-based damage model is able predict accurately the damage rate in both longitudinal and transverse directions for loads. The mechanism of damage initiation in the flax/epoxy composites and the damage evolution, during each test, were monitored using SEM. A direct correlation between the microstructure of the flax-reinforced epoxy composites and the damage was obtained.
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Reference
Ladevèze P., Le Dantec E., Damage modelling of the elementary ply for laminated composites, Composites Science and Technology; Vol. 43 (1992); pp.257–67.
El Sawi I., Fawaz Z., Zitoune R. and Bougherara H., An investigation of the damage mechanisms and fatigue life diagrams of flax fiber-reinforced polymer laminates Journal of Materials Science, Vol. 49 (2014); pp. 2338–2346.
Nouri H., Meraghni F. and Lory P., Fatigue damage model for injection-molded short glass fibre reinforced thermoplastics; International Journal of Fatigue Vol. 31 (2009); pp.934–942.
Nouri H, Czarnota C, Meraghni F. Experimental parameters identification of fatigue damage model for short glass fiber reinforced thermoplastics GFRP. Design and modeling of mechanical systems. Lecture notes in mechanical engineering. Berlin, Heidelberg: Springer Berlin Heidelberg; 2013. pp. 523–30.
Mahnken, R. and Stein, E. Parameter identification for viscoplastic models based on analytical derivatives of a least-squares functional and stability investigations, International Journal of Plasticity, Vol. 12(1996); pp.451–479.
Marquardt, D.W., An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics Vol. 11–2 (1963); pp. 431–441.
Levenberg, K., A method for the solution of certain Non-Linear problem in least squares. The Quarterly of Applied Mathematics, Vol. 2 (1944); pp. 164–168.
Meraghni, F., Nouri, H., Bourgeois, N., Czarnota, C. and Lory, P., Parameters identification of fatigue damage model for short glass fiber reinforced polyamide (PA6-GF30) using digital image correlation. Procedia Engineering, Vol. 10 (2011); pp. 2110–2116.
Meraghni F., Chemisky Y., Piotrowski B., EchchorfI R., Bourgeois N., Patoor E. Parameter identification of a thermodynamic model for superelastic shape memory alloys using analytical calculation of the sensitivity matrix. European Journal of Mechanics A/Solids Vol. 5, (2014), pp. 226–23.
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© 2015 TMS (The Minerals, Metals & Materials Society)
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Bougherara, H., Sawi, I.E., Fawaz, Z., Meraghni, F. (2015). Investigation and Modeling of the Fatigue Damage in Natural Fiber Composites. In: Karaman, I., Arróyave, R., Masad, E. (eds) Proceedings of the TMS Middle East — Mediterranean Materials Congress on Energy and Infrastructure Systems (MEMA 2015). Springer, Cham. https://doi.org/10.1007/978-3-319-48766-3_4
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DOI: https://doi.org/10.1007/978-3-319-48766-3_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48599-7
Online ISBN: 978-3-319-48766-3
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