沈阳航空航天大学学报2024，Vol.41Issue(3)：43-52,10.DOI:10.3969/j.issn.2095-1248.2024.03.007
基于碳纳米纸传感器和深度学习的碳纤维复合材料损伤监测
Damage monitoring of carbon fiber composite material based on carbon nanopaper sensors and deep learning
摘要
Abstract
The damage mechanism of fiber reinforced resin matrix composites is complex.To ensure long-term stable application,advanced health monitoring technology must be used to monitor the dam-age.A sensor based on carbon nanopaper can sensitively monitor resistance changes and impact damage on carbon fiber reinforced polymer(CFRP)composite.A damage monitoring system based on an artifi-cial neural network(ANN)deep-learning algorithm was designed.Through data analysis,the system could effectively monitor the occurrence and location of CFRP damage for a long time,and the damage location accuracy was as high as 92%.It can be inferred that the damage monitoring system can evalu-ate the health status of composite materials.关键词
碳纤维增强聚合物复合材料/碳纳米纸传感器/损伤监测/深度学习/人工神经网络Key words
carbon fiber reinforced polymer composites/carbon nanopaper sensors/damage monitor-ing/deep learning/artificial neural network分类
通用工业技术引用本文复制引用
杜禹樵,马成坤,王柏涛,王晨宇,张璐,王晓强..基于碳纳米纸传感器和深度学习的碳纤维复合材料损伤监测[J].沈阳航空航天大学学报,2024,41(3):43-52,10.基金项目
辽宁省兴辽英才计划项目(项目编号:XLYC2203026) （项目编号:XLYC2203026）
