Evidence map›Paper›PMID 42514744›Full record

ArticlePolymers2026

Fatigue Behavior of Woven Glass Fiber-Reinforced Epoxy Laminated Insulation (IEC 60893 EPGC 203) for High-Voltage Applications.

Oguzkan Senturk, Rupesh Daripa, Vivekkumar Chaubey, Tirdad Boroomand, Tobias Stirl, Rajeev Gupta

Abstract read
In one paragraph

Article in Polymers, 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
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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.

Oguzkan SenturkGE Vernova Grid Solutions, Stafford ST16 1WT, UK.ORCID 0000-0002-8471-3985
Rupesh DaripaGE Vernova Grid Solutions, Vadodara 390013, India.ORCID 0009-0001-0742-7686
Vivekkumar ChaubeyGE Vernova Grid Solutions, Vadodara 390013, India.
Tirdad BoroomandGE Vernova Grid Solutions, Stafford ST16 1WT, UK.
Tobias StirlGE Vernova Grid Solutions, 41065 Mönchengladbach, Germany.
Rajeev GuptaGE Vernova Grid Solutions, Stafford ST16 1WT, UK.

Funding

GE Vernova Grid Solutions PRD037
6 · The paper itself

Abstract

This study investigates the mechanical performance and fatigue behavior of a woven glass fiber-reinforced epoxy laminated composite classified as IEC 60893 EPGC 203, widely used in structural insulating components for high-voltage (HV) equipment. With evolving energy infrastructures introducing dynamic and cyclic loading conditions, understanding the long-term mechanical reliability of such materials has become increasingly important. A comprehensive experimental program was conducted, including flexural, compressive, tensile, Charpy impact, and fatigue tests. Mechanical properties were evaluated according to relevant ISO standards at room temperature and 120 °C to assess temperature-dependent performance. Fatigue tests were performed under fully reversed loading conditions (R=-1), and stress-life (S-N) curves were established. The results revealed notable reductions in strength and stiffness at elevated temperature, together with progressive damage accumulation under cyclic loading. Failure features observed after fatigue testing were correlated with static mechanical properties to improve understanding of degradation behavior. The study is limited to the mechanical and fatigue characterization of EPGC 203 and does not include dielectric evaluation. Therefore, its relevance to HV applications is considered from the standpoint of the mechanical reliability of structural insulating components. The findings provide essential insights into the durability and reliability of EPGC 203 composites under realistic service conditions.

Indexed as

epoxyfatigueglass fiberhigh voltagemechanical testing

Identifiers

PMID42514744
PMCPMC13416887

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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.