Evidence map›Paper›PMID 35683818›Full record

ArticlePolymers2022

Predicting Bond Strength between FRP Rebars and Concrete by Deploying Gene Expression Programming Model.

Muhammad Nasir Amin, Mudassir Iqbal, Babatunde Abiodun Salami, Arshad Jamal, Kaffayatullah Khan, Abdullah Mohammad Abu-Arab, Qasem Mohammed Sultan Al-Ahmad, Muhammad Imran

Abstract read
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In one paragraph

Article in Polymers, 2022. 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

8 authors.

Muhammad Nasir AminDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, P.O. Box 380, Al-Hofuf 31982, Al-Ahsa, Saudi Arabia.ORCID 0000-0001-6524-4389
Mudassir IqbalShanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-4317-3978
Babatunde Abiodun SalamiInterdisciplinary Research Center for Construction and Building Materials, Research Institute, King Fahd University of Petroleum and Minerals, P.O. Box 5040, Dhahran 31261, Saudi Arabia.ORCID 0000-0002-9175-2923
Arshad JamalTransportation and Traffic Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31451, Saudi Arabia.ORCID 0000-0001-7284-7348
Kaffayatullah KhanDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, P.O. Box 380, Al-Hofuf 31982, Al-Ahsa, Saudi Arabia.ORCID 0000-0001-7994-4642
Abdullah Mohammad Abu-ArabDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, P.O. Box 380, Al-Hofuf 31982, Al-Ahsa, Saudi Arabia.
Qasem Mohammed Sultan Al-AhmadDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, P.O. Box 380, Al-Hofuf 31982, Al-Ahsa, Saudi Arabia.ORCID 0000-0002-4558-9635
Muhammad ImranSchool of Civil and Environmental Engineering (SCEE), National University of Sciences & Technology (NUST), Islamabad 44000, Pakistan.

Funding

King Faisal University This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Project No. GRANT407]
6 · The paper itself

Abstract

Rebars made of fiber-reinforced plastic (FRP) might be the future reinforcing material, replacing mild steel rebars, which are prone to corrosion. The bond characteristics of FRP rebars differ from those of mild steel rebars due to their different stress-strain behavior than mild steel. As a result, determining the bond strength (BS) qualities of FRP rebars is critical. In this work, BS data for FRP rebars was investigated, utilizing non-linear capabilities of gene expression programming (GEP) on 273 samples. The BS of FRP and concrete was considered a function of bar surface (

Indexed as

bond strengthconcrete compressive strengthconcrete cover to bar diameter ratioFRPGEP modellingparametric study

Identifiers

PMID35683818
PMCPMC9182747

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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.