Evidence map›Paper›PMID 40271700›Full record

ArticleMaterials (Basel, Switzerland)2025

Study on the Performance of Adhesive-Bolt Hybrid Connection Between GFRP Plate and Steel Plate.

Zhenchao Yang, Bin Jia, Ying Sheng, Xiao Liu, Yu Zeng

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

5 authors.

Zhenchao YangSchool of Civil Engineer and Architecture, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0009-0008-1783-6337
Bin JiaSchool of Civil Engineer and Architecture, Southwest University of Science and Technology, Mianyang 621010, China.
Ying ShengSchool of Civil Engineer and Architecture, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0000-0002-3012-507X
Xiao LiuSchool of Civil Engineer and Architecture, Southwest University of Science and Technology, Mianyang 621010, China.
Yu ZengSchool of Civil Engineer and Architecture, Southwest University of Science and Technology, Mianyang 621010, China.

Funding

shengying 2024NSFSC0428
6 · The paper itself

Abstract

Glass fiber-reinforced polymer (GFRP) connecting joints are difficult in the design of structural components and also critical areas prone to damage. In this study, based on the existing research, a combination of experimental and finite element analysis is used to systematically analyze the performance-influencing factors of the hybrid connection of glass fiber-reinforced composite plate and steel plate adhesive bolts under tension. By discussing the damage modes, load-displacement curves, and strain distributions at the GFRP connection joints, the influence of the connection methods and bolt quantities on the tensile properties of double-lap joints comprising GFRP plates and steel plates is revealed, and a loss evolution model for GFRP composite plates is established based on the Hashin failure criterion. The results show that the adhesive-bolted connection integrates the advantages of both adhesive bonding and bolted connections, significantly improving the tensile performance of the joint. Furthermore, the vertical arrangement of two bolts is superior to the horizontal arrangement under double-bolt connection conditions between GFRP plates and steel plates. For the several design options proposed in this study, the GFRP joints exhibit the optimal tensile properties among the four bolt arrangement schemes.

Indexed as

damage mechanismfinite element analysisglass fiber-reinforced polymerHashin’s criterionload–displacement curve

Identifiers

PMID40271700
PMCPMC11989726

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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.