Abstract
This paper investigates the loading rate effect on both mechanical properties and damage accumulation process of [0°2/90°4]S carbon fiber-polymer laminates under tensile loading. In-situ edge observations, Acoustic Emission and Digital Image Correlation techniques were utilized simultaneously to monitor the state of damage in real time. Results showed that the axial modulus and strength were less sensitive to loading rates than failure strain, which increased with the decrease of the loading rate. In the viewpoint of damage accumulation process, high density and uniform distribution of transverse matrix cracks, and H-shape crack patterns, incorporating inter-laminar cracks, were more likely to occur at low loading rates while variable crack spacing occurred at higher rates. When loading rates were lower than a certain level, maximum transverse matrix crack density decreased slightly due to the restriction of relatively widely generated inter-laminar cracks. Furthermore, the cumulative acoustic emission energy of low-frequency signals was linearly correlated to transverse matrix crack density, providing a promising way to quantify crack accumulation in real time. Finally, spatial consistence was observed between transverse matrix cracks at edges and stress concentrations at the exterior 0° ply, and the peaks of axial strain at local concentration regions locate either near the newest cracks or at the place with minimum crack spacing.
Original language | English |
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Article number | 100005 |
Number of pages | 14 |
Journal | Composites Part C |
Volume | 1 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- Acoustic emission
- Cross-ply laminate
- Digital image correlation
- Inter-laminar crack
- Transverse matrix crack
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Data underlying the article: Damage accumulation analysis of CFRP cross-ply laminates under different tensile loading rates
Li, X. (Creator), Saeedifar, M. (Creator), Benedictus, R. (Creator) & Zarouchas, D. (Creator), TU Delft - 4TU.ResearchData, 9 Sept 2020
DOI: 10.4121/12927866
Dataset/Software: Dataset