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Structural Health Monitoring of Glass Fiber-Reinforced Polymer Laminates with Carbon Nanotube-Coated Glass Fiber Sensing Layer after Low-Velocity Impact Using Electrical Resistance Tomography.
Zhao, Zijie; Li, Minglong; Liu, Ya; Wang, Anhua; Zhou, Biaojun; Hu, Junfeng.
Affiliation
  • Zhao Z; National Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China.
  • Li M; School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211800, China.
  • Liu Y; Jiangsu Olymspan Thermal Energy Equipment Co., Ltd., Changzhou 213101, China.
  • Wang A; School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211800, China.
  • Zhou B; Suzhou Yihe Yongli New Energy Co., Ltd., Suzhou 215400, China.
  • Hu J; National Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China.
Nanomaterials (Basel) ; 14(17)2024 Sep 09.
Article in En | MEDLINE | ID: mdl-39269124
ABSTRACT
Structural health monitoring (SHM) of composite materials is of great significance in various practical applications. However, it is a challenge to accurately monitor the damage of composites without affecting their mechanical properties. In this paper, an embedded sensing layer based on carbon nanotube-coated glass fiber is designed, combined with electrical resistance tomography (ERT) for in situ damage monitoring. Multi-wall carbon nanotube-coated glass fiber (MWCNT-GF) is prepared and embedded into laminates as an in situ sensing layer. Low-velocity impact experiments demonstrate that the embedded sensing layer has high compatibility with the composite laminates and has no adverse effect on its impact response; although, the energy absorption behavior of glass fiber-reinforced polymer (GFRP) laminates containing MWCNT-GF occurs about 10% earlier than that of GFRP laminates overall. ERT technology is used to analyze the laminates after a low-velocity impact test. The results show that the in situ monitoring method with the embedded MWCNT-GF sensing layer can achieve high precision in imaging localization of impact damage, and the error of the detected damage area is only 4.5%.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nanomaterials (Basel) Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nanomaterials (Basel) Year: 2024 Document type: Article Affiliation country: Country of publication: