Multimodal data fusion enhanced deep learning prediction of crack path segmentation in CFRP composites

Carbon fiber-reinforced polymer (CFRP) composites are extensively used in various engineering applications due to their superior strength-to-weight ratio and excellent mechanical properties. Predicting crack propagation paths in CFRP composites is a complex challenge due to their multiphase nature a...

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Vydané v:	Composites science and technology Ročník 257; s. 110812
Hlavní autori:	Zhang, Peng, Tang, Keke, Chen, Guangxu, Li, Jiangfeng, Li, Yan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 20.10.2024
Predmet:	Composite materials Crack path prediction Deep learning Multimodal data fusion Segmentation Deep learning Crack path prediction Composite materials Segmentation Multimodal data fusion
ISSN:	0266-3538
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