Evidence map›Paper›PMID 39828709›Full record

ArticleScientific reports2025

Enhancing structural health monitoring of fiber-reinforced polymer composites using piezoresistive Ti

Bircan Haspulat Taymaz, Handan Kamış, Michal Dziendzikowski, Kamil Kowalczyk, Krzysztof Dragan, Volkan Eskizeybek

Abstract read
In one paragraph

Article in Scientific reports, 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. 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.

Bircan Haspulat TaymazDepartment of Chemical Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, 42079, Konya, Turkey.
Handan KamışDepartment of Chemical Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, 42079, Konya, Turkey.
Michal DziendzikowskiAirworthiness Division, Air Force Institute of Technology, 01-494, Warsaw, Poland.
Kamil KowalczykAirworthiness Division, Air Force Institute of Technology, 01-494, Warsaw, Poland.
Krzysztof DraganAirworthiness Division, Air Force Institute of Technology, 01-494, Warsaw, Poland.
Volkan EskizeybekDepartment of Materials Science and Engineering, Faculty of Engineering, Çanakkale Onsekiz Mart Universitesi, 17100, Çanakkale, Turkey. veskizeybek@comu.edu.tr.

Funding

Canakkale Onsekiz Mart University the Scientific Research Coordination Unit FBA-2020-3464EU COST Action CA21155 Short-Term Scientific MissionsEU funds under HORIZON.4.1 COMP-ECO 01079250Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 221M523
6 · The paper itself

Abstract

The anisotropic behavior of fiber-reinforced polymer composites, coupled with their susceptibility to various failure modes, poses challenges for their structural health monitoring (SHM) during service life. To address this, non-destructive testing techniques have been employed, but they often suffer from drawbacks such as high costs and suboptimal resolutions. Moreover, routine inspections fail to disclose incidents or failures occurring between successive assessments. As a result, there is a growing emphasis on SHM methods that enable continuous monitoring without grounding the aircraft. Our research focuses on advancing aerospace SHM through the utilization of piezoresistive MXene fibers. MXene, characterized by its 2D nanofiber architecture and exceptional properties, offers unique advantages for strain sensing applications. We successfully fabricate piezoresistive MXene fibers using wet spinning and integrate them into carbon fiber-reinforced epoxy laminates for in-situ strain sensing. Unlike previous studies focused on high strain levels, we adjust the strain levels to be comparable to those encountered in practical aerospace applications. Our results demonstrate remarkable sensitivity of MXene fibers within low strain ranges, with a maximum sensitivity of 0.9 at 0.13% strain. Additionally, MXene fibers exhibited high reliability for repetitive tensile deformations and low-velocity impact loading scenarios. This research contributes to the development of self-sensing composites, offering enhanced capabilities for early detection of damage and defects in aerospace structures, thereby improving safety and reducing maintenance expenses.

Indexed as

Fiber-reinforced polymer compositesPiezoresistive strain sensingStructural health monitoringTi3C2Tx MXene fibers

Identifiers

PMID39828709
PMCPMC11743780

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Registered trials

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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.