Evidence map›Paper›PMID 41724755›Full record

ArticleScientific reports2026

Analysis of the condition of thin-walled composite structures based on the results of experiments conducted at variable temperature by acoustic emission.

Tomasz Kopecki, Lukasz Swiech, Patryk Rozylo, Pawel Wysmulski, Anna Falkowska, Adam Tomczyk

Abstract read
In one paragraph

Article in Scientific reports, 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

6 authors.

Tomasz KopeckiDepartment of Aerospace Engineering, Rzeszow University of Technology, Powstancow Warszawy 8, Rzeszow, Poland.
Lukasz SwiechDepartment of Aerospace Engineering, Rzeszow University of Technology, Powstancow Warszawy 8, Rzeszow, Poland.
Patryk RozyloDepartment of Machine Design and Mechatronics, Lublin University of Technology, Nadbystrzycka 36, Lublin, Poland.
Pawel WysmulskiDepartment of Machine Design and Mechatronics, Lublin University of Technology, Nadbystrzycka 36, Lublin, Poland. p.wysmulski@pollub.pl.
Anna FalkowskaDepartment of Mechanics and Applied Computer Science, Bialystok University of Technology, Wiejska 45C, Bialystok, Poland.
Adam TomczykDepartment of Mechanics and Applied Computer Science, Bialystok University of Technology, Wiejska 45C, Bialystok, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents considerations for interpreting acoustic emission results in combination with equilibrium paths obtained from experiments conducted using a testing machine and a digital image correlation system. The experiments were performed on thin-walled carbon-epoxy composite profiles. Two types of samples with different shapes were tested at various temperatures. The samples had identical lay-up configurations. The primary objective of the research was to perform a quantitative and qualitative assessment of composite material damage using independent experimental testing techniques, including digital image correlation (DIC) and acoustic emission. An additional aspect was to assess the impact of temperature on the stability and load-bearing capacity of thin-walled composite structures under variable thermal conditions (negative and positive temperatures). The paper used experimental, non-destructive testing methods to evaluate how two types of composite structures behave under different conditions and under simultaneous temperature variations.

Indexed as

Load-carrying capacityPost-bucklingTemperature impactThin-walled composite structures

Identifiers

PMID41724755
PMCPMC13022429

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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.