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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Veröffentlicht in:	Composites science and technology Jg. 257; S. 110812
Hauptverfasser:	Zhang, Peng, Tang, Keke, Chen, Guangxu, Li, Jiangfeng, Li, Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 20.10.2024
Schlagworte:	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
Online-Zugang:	Volltext
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