Artificial neural network based delamination prediction in composite plates using vibration signals
Dynamic loading on composite components may induce damages such as cracks, delaminations, etc. and development of an early damage detection technique for delamination prediction is one of the most important aspects in ensuring the integrity and safety of such components. The presence of damages such...
Saved in:
| Main Authors: | T. G. Sreekanth, M. Senthilkumar, S. Manikanta Reddy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2023-01-01
|
| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/3834/3725 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fibre-orientation-driven defect probability mapping for machining-induced delamination and burr minimisation in carbon fibre-reinforced polymer (CFRP) composites
by: Norbert Geier
Published: (2025-10-01) -
Wavelet-based acoustic emission characterization of damage mechanism in composite materials under mode I delamination at different interfaces
Published: (2009-12-01) -
COMPOSITIONAL AND THERMAL DIFFERENCES BETWEEN LITHOSPHERIC AND ASTHENOSPHERIC MANTLE AND THEIR INFLUENCE ON CONTINENTAL DELAMINATION
by: A. I. Kiselev, et al.
Published: (2015-09-01) -
Localized Compression Behavior of GFRP Grid Web–Concrete Composite Beams: Experimental, Numerical, and Analytical Studies
by: Yunde Li, et al.
Published: (2025-07-01) -
Optimization of drilling parameters to minimize delamination in CNT-filled GFRP composites using machine learning
by: Aveen K P, et al.
Published: (2025-09-01)