Evidence map›Paper›PMID 39269124›Full record

ArticleNanomaterials (Basel, Switzerland)2024

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.

Zijie Zhao, Minglong Li, Ya Liu, Anhua Wang, Biaojun Zhou, Junfeng Hu

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zijie ZhaoNational Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China.
Minglong LiSchool of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211800, China.
Ya LiuSchool of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211800, China.
Anhua WangNational Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China.
Biaojun ZhouNational Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0009-0003-3904-9629
Junfeng HuSchool of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211800, China.ORCID 0000-0003-4616-6092

Funding

China Postdoctoral Science Foundation 2022M721590
6 · The paper itself

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%.

Indexed as

carbon nanotubesdamage monitoringERT imaginglow-velocity impactsensing fibers

Identifiers

PMID39269124
PMCPMC11396890

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.