Evidence map›Paper›PMID 41012282›Full record

ArticlePolymers2025

Effect of Thickness on the Uniaxial Compression Failure Behavior of CFRP Laminates.

Zixing Qin, Huiming Ding, Shiyang Zhu, Can Jin, Jian Wang, Jiaxin Li, Han Wang

Abstract read
In one paragraph

Article in Polymers, 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. Article
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

7 authors.

Zixing QinSchool of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
Huiming DingCollege of Energy Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-4145-8013
Shiyang ZhuWuhan Second Ship Design and Research Institute, Wuhan 430205, China.
Can JinCollege of Energy Engineering, Zhejiang University, Hangzhou 310027, China.
Jian WangDonghai Laboratory, Zhoushan 316021, China.
Jiaxin LiJilin Guoxing Composite Material Co., Ltd., Jilin 132000, China.
Han WangSchool of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.

Funding

China Postdoctoral Science Foundation 2024M762835Key Research and Development Program of Jilin Province 20240301027GXScience Foundation of Donghai Laboratory DH-2023QH0004
6 · The paper itself

Abstract

Carbon Fiber Reinforced Composite (CFRP) is widely used in deep-sea pressure-resistant structures. With the increase in submergence depth demand leading to the increase in the thickness of the CFRP shell plate, there is a significant thickness effect on its compression performance. In order to study the mechanism of the decrease in compression performance of the laminate, uniaxial compression tests, interlaminar shear tests, out-of-plane tensile tests, damage characterization, and FEM analysis were carried out on three thicknesses of laminates. The results showed that the compressive strength, interlaminar shear strength, out-of-plane tensile strength of laminates and FEM compression model decreased by 10.3%, 12.7%, 23.6%, and 13.6% when the thickness of the laminate was increased from 2 mm to 12 mm. Concurrently, the compression failure mechanism is transformed from the overall strength failure to the instability-crush failure mode caused by the initial delamination. The effects of out-of-plane tensile strength and interlaminar shear strength on compressive properties were also considered. It provides support for the regulation of compression performance of large-thickness laminates and the safety of deep-sea pressure-resistant structures in service.

Indexed as

carbon fiber compositescompression propertiescompression-resistant structuresthick laminate

Identifiers

PMID41012282
PMCPMC12473190

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.