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
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%.
Authors
- Junfeng Hu (ORCID: https://orcid.org/0000-0003-4616-6092)
- Biaojun Zhou (ORCID: https://orcid.org/0009-0003-3904-9629)
- Minglong Li (ORCID: https://orcid.org/0000-0002-4028-0559)
- Zijie Zhao (ORCID: https://orcid.org/0000-0001-9676-3181)
- Anhua Wang (ORCID: https://orcid.org/0009-0007-1928-3716)
- Ya Liu (ORCID: https://orcid.org/0009-0005-5866-3178)
Institutions
- Nanjing Tech University (CN)
- Nanjing University of Science and Technology (CN)
- Sehenstar Energy Technology (China) (CN)
- Suzhou Thermal Engineering Research Institute (CN)
Publication Details
- Journal
- Nanomaterials
- Published
- 2024-09-09
- DOI
- https://doi.org/10.3390/nano14171462
- Citations
- 9
- Primary Topic
- Smart Materials for Construction
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- China Postdoctoral Science Foundation