Evidence map›Paper›PMID 39339140›Full record

ArticlePolymers2024

Analysis and Evaluation of Load-Carrying Capacity of CFRP-Reinforced Steel Structures.

Jian Zhao, Yongxing Huang, Kun Gong, Zhiguo Wen, Sinan Liu, Yanyan Hou, Xuewu Hong, Xuecheng Tong, Kai Shi, Ziyi Qu

Abstract read
PubMed Full text at PMC Publisher
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
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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

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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

10 authors.

Jian ZhaoSchool of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Yongxing HuangSchool of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Kun GongSchool of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Zhiguo WenSchool of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Sinan LiuSchool of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Yanyan HouSchool of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Xuewu HongSchool of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Xuecheng TongTianjin Puret Purification Technology Co., Ltd., Tianjin 301814, China.
Kai ShiSchool of Mechanical Engineering, Tianjin University, Tianjin 300354, China.
Ziyi QuSchool of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.

Funding

Tianjin Municipal Education Commission 2022SKYZ028Tianjin Science and Technology Bureau 23YDTPJC00750Tianjin Science and Technology Bureau 24YDTPJC00750
6 · The paper itself

Abstract

Carbon Fiber Reinforced Polymer (CFRP) can be used to reinforce steel structures depending on its high strength and lightweight resistance. To analyze and evaluate the load-carrying capacity of CFRP-reinforced steel structures. This study uses the Finite Element Analysis (FEA) and the experimental tests combined to investigate the influence that the reinforcement patterns and the relevant parameters have on the load-carrying capacity. We made specimens with different reinforcement patterns. Take the steel beam specimen with full reinforcement as an example. Compared with the load-carrying capacity of the steel beam reinforced by two-layer CFRP cloth, that respectively increases by 5.16% and 11.1% when the number of the CFRP cloth increases to four and six, respectively. Based on a specimen set consisting of CFRP-reinforced steel structures under different reinforcement patterns, the random forest algorithm is used to develop an evaluation model for the load carrying. The performance test results show that the MAE (Mean Absolute Error) of the evaluation model can reach 0.12 and the RMSE (Root Mean Square Error) is 0.25, presenting a good prediction accuracy, which lays a solid foundation for the research on the CFRP-based reinforcement technology and process.

Indexed as

carbon fiber-reinforced polymerload-carrying evaluationrandom foreststeel structurestructural reinforcement

Identifiers

PMID39339140
PMCPMC11435699

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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.