PSI - Issue 77
Claudia Barile et al. / Procedia Structural Integrity 77 (2026) 3–10 Barile and Kannan/ Structural Integrity Procedia 00 (2026) 000 – 000
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stiffness of the fibres in the FRPs (De Groot et al., 1995). Therefore, the CWT results validate the findings from the previous sections. 4. Conclusion In this research work, the interlaminar failure progression in self-healing CFRPs are evaluated using AE technique. The mechanical test results demonstrate the marginal recovery of properties in the tested CFRPs. The AE test results, and the microscopic analysis suggest that the damage progression approaching the failure in the healed and unhealed composites are inherently different. The CWT spectrograms of the AE signals are used to validate the differences in the damage progression. Acknowledgements Claudia Barile would like to acknowledge the following. European Union – Next Generation EU, Mission 4 Component 1. Award number: 2022JFMPSC - INnovative damage MOnitoring Of Self-HEAling Composites by acoustic emissions in civil and aerospace Applications – IN MOOSHEAC - Grant n. CUP: D53D23003600006 - Politecnico di BARI. Vimalathithan Paramsamy Kannan would like to acknowledge the following. National Recovery and Resilience Plan (PNRR), Mission 4 Component 2 Investment 1.4 of Italian Ministry of University and Research funded by the European Union – Next Generation EU. Award Number: CNMS named MOST, Concession Decree No. 1033 of June 17, 2022 adopted by the Italian Ministry of University and Research, CUP: D93C22000410001, Spoke 14 “Hydrogen and New Fuels”. References Barile C, Pappalettera G, Kannan VP. An Acoustic Emission-Based Characterisation of Intrinsically Healing Fibre-Reinforced Polymer Composites. Composites Communications 2025:102563. Barile C, Casavola C, Pappalettera G, Kannan VP. Application of different acoustic emission descriptors in damage assessment of fiber reinforced plastics: A comprehensive review. Eng Fract Mech 2020;235:107083. Barile C, Casavola C, Pappalettera G, Vimalathithan PK. Damage characterization in composite materials using acoustic emission signal-based and parameter-based data. Compos B Eng 2019;178:107469. Cohades A, Branfoot C, Rae S, Bond I, Michaud V. Progress in self‐healing fiber‐reinforced polymer composites. Adv Mater Interfaces 2018;5:1800177. De Groot PJ, Wijnen PAM, Janssen RBF. Real-time frequency determination of acoustic emission for different fracture mechanisms in carbon/epoxy composites. Compos Sci Technol 1995;55:405 – 12. Krishna YS, Raju G, Desarkar MS. Damage characterization of CFRP composites under compression using acoustic emission time – frequency analysis and unsupervised deep learning. Mech Syst Signal Process 2025;238:113224. Muir C, Swaminathan B, Almansour AS, Sevener K, Smith C, Presby M, et al. Damage mechanism identification in composites via machine learning and acoustic emission. NPJ Comput Mater 2021;7:95. Scazzoli C, Trigueira R, Cohades A, Michaud V. A Novel Method to Quantify Self-Healing Capabilities of Fiber-Reinforced Polymers. Front Mater 2022;9:932287.
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