Evidence map›Paper›PMID 39408529›Full record

ArticlePolymers2024

Composite Fiber Wrapping Techniques for Enhanced Concrete Mechanics.

Zhongxu Li, Guojun Hao, Haoran Du, Tianjian Fu, Depei Liu, Yuxiang Huang, Yongcheng Ji

Abstract read
In one paragraph

Article in Polymers, 2024. 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

7 authors.

Zhongxu LiCollege of Aulin, Northeast Forestry University, Harbin 150040, China.
Guojun HaoCollege of Aulin, Northeast Forestry University, Harbin 150040, China.
Haoran DuCollege of Aulin, Northeast Forestry University, Harbin 150040, China.
Tianjian FuCollege of Aulin, Northeast Forestry University, Harbin 150040, China.
Depei LiuCollege of Aulin, Northeast Forestry University, Harbin 150040, China.
Yuxiang HuangCollege of Aulin, Northeast Forestry University, Harbin 150040, China.ORCID 0009-0003-8468-7128
Yongcheng JiCollege of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0001-9047-5015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study systematically investigates the enhancement effects of different fiber-reinforced polymer (FRP) materials on the axial compressive performance of concrete. Through experimental evaluations of single-layer, double-layer, and composite FRP reinforcement techniques, the impact of various FRP materials and their combinations on concrete's axial compressive strength and deformation characteristics was assessed. The results indicate that single-layer CFRP reinforcement significantly improves concrete axial compressive strength and stiffness, while double-layer CFRP further optimizes stress distribution and load-bearing capacity. Among the composite FRP reinforcements, the combination with CFRP as the outer layer demonstrated superior performance in enhancing the overall structural integrity. Additionally, numerical analyses of the mechanical behavior of the reinforced structures were conducted using ABAQUS 2023HF2 finite element software, which validated the experimental findings and elucidated the mechanisms by which FRP influences the internal stress field of concrete. This research provides theoretical support and empirical data for the optimized design and practical application of FRP reinforcement technologies in engineering.

Indexed as

ABAQUS finite element simulationcomposite reinforcementdouble-layer reinforcementfiber-reinforced polymer (FRP)single-layer reinforcement

Identifiers

PMID39408529
PMCPMC11479214

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.