Evidence map›Paper›PMID 42590552›Full record

ArticleSensors (Basel, Switzerland)2026

A Multifunctional Composite Framework with Self-Healing and Guided Wave-Based States Awareness.

Shilei Wang, Yihang Cai, Qidi Shan, Lei Qiu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shilei WangResearch Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.ORCID 0009-0000-1012-032X
Yihang CaiResearch Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Qidi ShanResearch Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Lei QiuResearch Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Funding

Ministry of Education of the People's Republic of China Grant No. JYB2025XDXM207Ministry of Education of the People's Republic of China Grant No. ZYGXQNJSKYCXNLZCXM-D6National Natural Science Foundation of China Grant No. U2570234
6 · The paper itself

Abstract

Modern aeronautical engineering increasingly demands multifunctional materials that provide capabilities beyond passive load-bearing. While self-healing composites offer autonomous repair against impact damage, their practical application requires reliable in situ perception of structural states. Addressing this, this study proposes a novel multifunctional composite structural framework that synergistically integrates damage self-healing with guided wave-based structural health monitoring. Rather than treating monitoring and repair as isolated processes, this integrated strategy endows the composite with self-aware and self-healing characteristics, enabling closed-loop tracking of the dynamic "healthy-damaged-healed" processing. The interactive effects of simulated damage and various structural impact damaged states on distinct guided wave modes were systematically analyzed. Furthermore, a state index method is introduced to characterize damage propagation and accurately distinguish between evolving structural states. Experimental validations demonstrated spatial awareness: the framework achieved a minimum localization error of 5 mm for simulated damage. Crucially, for barely visible impact damage, the damaged and self-healing states were precisely localized with errors of 3 mm and 5 mm, respectively, with all overall localization errors strictly bounded below 9 mm. These findings validate the efficacy of the proposed multifunctional strategy, providing a highly reliable paradigm for the next generation of intelligent, damage-resilient aeronautical composite structures.

Indexed as

guided wavemultifunctional composites structurestate monitoringstructural health monitoring

Identifiers

PMID42590552
PMCPMC13469416

What OpenQuestion holds

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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.