Impact Characterization on Reinforced Aerospace Structures via Machine Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47508-5_35
Reference24 articles.
1. Boffa, N.D., Arena, M., Monaco, E., Viscardi, M., Ricci, F., Kundu, T.: About the combination of high and low frequency methods for impact detection on aerospace components. Prog. Aerosp. Sci. 129, 100789 (2022). https://doi.org/10.1016/J.PAEROSCI.2021.100789
2. Rocha, H., Lafont, U., Nunes, J.P.: Optimisation of through-thickness embedding location of fibre Bragg grating sensor in CFRP for impact damage detection. Polymers 13, 3078. 13 (2021) 3078. https://doi.org/10.3390/POLYM13183078
3. Nicassio, F., Carrino, S., Scarselli, G.: Elastic waves interference for the analysis of disbonds in single lap joints. Mech. Syst. Signal Process. 128, 340–351 (2019). https://doi.org/10.1016/J.YMSSP.2019.04.011
4. Hassani, S., Mousavi, M., Gandomi, A.H.: Structural health monitoring in composite structures: a comprehensive review. Sensors 2022 22, 153 (2021). https://doi.org/10.3390/S22010153
5. Seifoori, S., Mahdian Parrany, A., Mirzarahmani, S.: Impact damage detection in CFRP and GFRP curved composite laminates subjected to low-velocity impacts. Compos. Struct. 261, 113278 (2021). https://doi.org/10.1016/J.COMPSTRUCT.2020.113278
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