Evidence map›Paper›PMID 41984882›Full record

ArticlePloS one2026

Fatigue crack growth of glass fiber laminates polymer composites using vacuum bagging technique.

Mariam Kadhiam Chaloob, Rafil Mahmood Laftah, Daniel Young, Tahseen A Alwattar

Abstract read
In one paragraph

Article in PloS one, 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.

Mariam Kadhiam ChaloobDepartment of Mechanical Engineering, College of Engineering, University of Basrah, Basrah, Iraq.
Rafil Mahmood LaftahDepartment of Mechanical Engineering, College of Engineering, University of Basrah, Basrah, Iraq.
Daniel YoungDepartment of Mechanical and Material Engineering, Wright State University, Dayton, Ohio, United States of America.
Tahseen A AlwattarDepartment of Mechanical and Material Engineering, Wright State University, Dayton, Ohio, United States of America.ORCID https://orcid.org/0000-0002-7242-9135

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatigue failure in composite polymer materials has attracted the attention of numerous researchers due to the extensive range of applications for these materials in aerospace, automotive, and biomedical industries. In this study, E-Glass fiber chopped strand mat was laminated with Epoxy LR625 using the vacuum bagging technique (VBT). We examined mode I fatigue crack growth related to translaminar failure in chopped strand mat-reinforced resin composite laminates through both experimental and numerical methods, utilizing the extended finite element method and direct cyclic approach. The main finding of this research is determining Paris coefficients of composite polymer material, fiberglass chopped strand mat/epoxy, fabricated by VBT with translaminar cracks. Paris law constants, C and m, were determined to be 4 × 10 ⁻ ¹² and 4.8584, respectively. The results obtained from both experimental and extended finite element method (XFEM) models of fatigue life are in good agreement, with a 6% error in predicted fatigue life. This research provides the determination of the Paris coefficients, which serve as a correction between fatigue and fracture mechanics for the composite materials. The growth of fatigue cracks can be characterized by the relationship between the crack propagation rate during each loading cycle and the fluctuations in the stress intensity factor (SIF).

Indexed as

Composite ResinsGlassMaterials TestingPolymersFinite Element AnalysisSilicon DioxideStress, MechanicalVacuumComposite ResinsfiberglassPolymersSilicon Dioxide

Identifiers

PMID41984882
PMCPMC13082588

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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.