Matrix cracking and delamination detection in GFRP laminates using pre-trained CNN models

The demand for fiber-reinforced polymer composites is increasing steadily because of their superior mechanical properties, high specific strength and stiffness, and high corrosion resistance. Matrix cracking and delamination are one of the most significant kind of damage in laminated composite struc...

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Veröffentlicht in:	Journal of the Brazilian Society of Mechanical Sciences and Engineering 2023-03, Vol.45 (3), Article 136
Hauptverfasser:	Chaupal, Pankaj, Rohit, S., Rajendran, Prakash
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Affine transformations Artificial neural networks Comparative studies Composite structures Computing time Convergence Corrosion resistance Cracking (fracturing) Damage Delamination Engineering Fiber composites Fiber reinforced polymers Glass fibers Laminar composites Laminates Learning Mathematical models Matrix cracks Mechanical Engineering Mechanical properties Parameters Polymer matrix composites Stiffness Technical Paper Training
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