References:
1. Sedaghat, A., Alitavoli, M., Darvizeh, A., et al. "Mathematical, numerical and experimental investigation of low energy impact on glass fiber reinforced aluminum laminates", J. of Mechanics of Continua and Mathematical Sciences, 14(3), pp. 83-93 (2019).
2. Alderliesten, R.C. "Fatigue crack propagation and delamination growth in the glare", Ph.D. Thesis, Delft University of Technology, Delft (2005).
3. Dadej, K., Surowska, B., and Bienias, J. "Isostrain elastoplastic model for prediction of static strength and fatigue life of fiber metal laminates", Int. J. of Fatigue, 110, pp. 31-41 (2018).
4. Park, S.Y., Choi, W.J., Choi, C.H., et al. "Effect of drilling parameters on hole quality and delamination of hybrid GLARE laminate", Composite Structures, 185, pp. 684-698 (2017).
5. Li, H., Xu, Y., Hua, X., et al. "Bending failure mechanism and flexural properties of GLARE laminates with different stacking sequences", Composite Structures, 187, pp. 354-363 (2017).
6. Zarei, H., Brugo, T., Belcari, J., et al. "Low velocity impact damage assessment of GLARE fiber-metal laminates interleaved by Nylon 6,6 nanofiber mats", Composite Structures, 167, pp. 123-131 (2017).
7. Kamocka, M., Zglinicki, M., and Mania, R.J. "Multimethod approach for FML mechanical properties prediction", Composites Part B, 91, pp. 135-143 (2016).
8. Liao, B.B. and Liu, P.F. "Finite element analysis of dynamic progressive failure properties of GLARE hybrid laminates under low-velocity impact", J. Composite Materials, 50, pp. 1-14 (2017).
9. Volt, A., Glare History of the Development of a New Aircraft Material, pp. 35-45, Dordrecht, Kluwer Academic Publishers Netherlands (2001).
10. Sadighi, M. and Alderliesten, R.C. "Impact resistance of fiber metal laminates", Int. J. of Impact Engineering, 49, pp. 77-90 (2012).
11. Wu, G.C. and Yang, J.M. "The mechanical behavior of GLARE laminates for aircraft structures", J Minerals Metals Mater, 57, pp. 72-79 (2005).
12. Liang, Z.Q. and Xue, Y.D. "Performance and application of GLARE laminates in A380 Airliner. Glass FRP/CM", Int. J. Composite, 04, pp. 49-51 (2005).
13. Liang, Z.Q. and Wu, W.J. "Comparison of GLARE laminates with aluminum alloy and its application", J. of the Minerals, Metals & Materials Society, 57(1), pp. 72-79 (2006).
14. Syed, A.K., Zhang, X., Moffatt, J.E., et al. "Fatigue performance of bonded crack retarders in the presence of cold worked holes and interference-fit fasteners", Int. J. of Fatigue, 105, pp. 111-118 (2017).
15. Al-Azzawi, A.S., Mc Crory, J., Kawashita, L.F., et al. "Buckling and postbuckling behaviour of glare laminates containing splices and doublers. Part 1: Instrumented tests", Composite Structures, 176, pp. 1158-1169 (2017).
16. Wang, W., Rans, C., and Benedictus, R. "Analytical prediction model for non-symmetric fatigue crack growth in fibre metal laminates", Int. J. of Fatigue, 103, pp. 546-556 (2017).
17. Marissen, R. "Fatigue crack growth in ARALL, a hybrid aluminium-aramid composite material, crack growth mechanisms and quantitative predictions of the crack growth rate", Dissertation for the Doctoral Degree, Delft University of Technology (1988).
18. Lapczyk, I. and Hurtado, J.A. "Progressive damage modeling in fiber-reinforced materials", Composites Part A, 38, pp. 2333-2341 (2007).
19. Graupe, D. and Kordilewski, H. "A novel largememory neural network as an aid in medical diagnosis", IEEE Trans. on Information Technology in Biomedicine, 5(3), pp. 202-209 (2001).
20. Hagan, M.T. and Menhaj M.B. "Training feedforward networks with the Marquardt algorithm", IEEE Trans. on Neural Networks, 5, pp. 989-993 (1994).
21. Azadeh, A., Saberi, M., TavakkoliMoghadam, R., and Javanmardi, L. "An integrated Data envelopment analysis-artificial neural network-rough set algorithm for assessment of personnel efficiency", Expert Systems with Applications, 38, pp. 1364-1373 (2011).
22. Haykin, S., Neural Networks: A Comprehensive Foundation, pp. 134-168, Prentice Hall, Dehli, India (1990).
23. Lei, Y., He, Z., and Zi, Y. "Application of an intelligent classification method to mechanical fault diagnosis", Expert Systems with Applications, 36, pp. 9941-9948 (2009).
24. Li, B., Chow, M.Y., Tipsuwan, Y., et al. "The neuralnetwork- based motor rolling bearing fault diagnosis", IEEE Tran. on Industrial Electronics, 47, pp. 1060- 1069 (2000).
25. Soutis, C., Mohamed, G., and Hodzic, A. "Modelling the structural response of GLARE panels to blast load", Composite Structures, 94, pp. 267-276 (2011).
26. Donadon, M.V., Iannucci, L., Falzon, B., et al. "A progressive failure model for composite laminates subjected to low-velocity impact damage", Composite Structures, 86(12), pp. 1232-1252 (2008).
27. Apruzzese, P. and Falzon B. "Numerical analysis of complex failure mechanisms in composite panels", 16th International Conference on Composite Materials, Kyoto, Japan, pp. 234-246 (2007).
28. Wang, W., Rans, C., Zhang, Z., and Benedictus, R. "Prediction methodology for fatigue crack growth behaviour in fibre metal laminates subjected to tension and pin loading", Composite Structures, 185, pp. 176- 182 (2017).
29. Seyed Yaghoubi, A. and Liaw, B. "Thickness influence on ballistic impact behaviors of GLARE 5 fiber-metal laminated beams: Experimental and numerical studies", Composite Structures, 94, pp. 2585-2598 (2012).
)
