Evidence map›Paper›PMID 40508727›Full record

ArticlePolymers2025

Graphene-Based Textile Sensors for Intelligent Structural Health Monitoring.

Chuang Zhu, Yajie Zhang, Guanliang He

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Chuang ZhuShanghai Frontiers Science Center of Advanced Textiles, College of Textiles, Donghua University, Shanghai 201620, China.ORCID 0000-0002-9133-7236
Yajie ZhangShanghai Frontiers Science Center of Advanced Textiles, College of Textiles, Donghua University, Shanghai 201620, China.ORCID 0009-0006-4653-5723
Guanliang HeShandong Laboratory of Advanced Materials and Green Manufacturing at Yantai, Yantai 264006, China.

Funding

Shanghai Pujiang Program 23PJ1400700
6 · The paper itself

Abstract

This paper presents an approach to address the need for advanced Structural Health Monitoring (SHM) systems in composite materials across various industries. Leveraging the exceptional mechanical and electrical properties of graphene, this study introduces graphene/polydopamine-based sensors for intelligent SHM. Testing these sensors' efficiency through tensile, bending, impact, and compression tests show that different designs are applicable to various conditions. Notably, these sensors respond well to external impact forces, opening new avenues for impact detection in composite panels, an essential aspect of Structural Health Monitoring. This research contributes to developing resilient and cost-effective SHM systems with potential applications in aerospace, automotive, and civil engineering industries, enhancing safety and reducing maintenance costs.

Indexed as

compositesgraphenesensorsstructural health monitoring

Identifiers

PMID40508727
PMCPMC12157770

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.