Evidence map›Paper›PMID 35454521›Full record

ArticleMaterials (Basel, Switzerland)2022

Mechanical Experiments on Concrete with Hybrid Fiber Reinforcement for Structural Rehabilitation.

Muhammad Asharib Shahid, Muhammad Usman Rashid, Nazam Ali, Krisada Chaiyasarn, Panuwat Joyklad, Qudeer Hussain

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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

6 authors.

Muhammad Asharib ShahidCivil Engineering Department, University of Management and Technology, Lahore 54770, Pakistan.ORCID 0000-0001-5484-6800
Muhammad Usman RashidCivil Engineering Department, University of Management and Technology, Lahore 54770, Pakistan.ORCID 0000-0002-2195-4108
Nazam AliCivil Engineering Department, University of Management and Technology, Lahore 54770, Pakistan.ORCID 0000-0002-2113-7781
Krisada ChaiyasarnThammasat Research Unit in Infrastructure Inspection and Monitoring, Repair and Strengthening (IIMRS), Thammasat School of Engineering, Faculty of Engineering, Thammasat University Rangsit, Pathum Thani 12000, Thailand.ORCID 0000-0003-0222-8773
Panuwat JoykladDepartment of Civil and Environmental Engineering, Faculty of Engineering, Srinakharinwirot University, Nakhonnayok 26120, Thailand.ORCID 0000-0003-1069-1653
Qudeer HussainCenter of Excellence in Earthquake Engineering and Vibration, Department of Civil Engineering, Chulalongkorn University, Bangkok 10330, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reinforced concrete is used in the construction of bridges, buildings, retaining walls, roads, and other engineered structures. Due to seismic activities, a lot of structures develop seismic cracks. The rehabilitation of such structures is necessary for public safety. The overall aim of this research study was to produce a high-performance hybrid fiber-reinforced concrete (HPHFRC) with enhanced properties as compared to plain high-performance concrete and high-performance fiber-reinforced concrete (HPFRC) for the rehabilitation of bridges and buildings. Kevlar fibers (KF) and glass fibers (GF) with lengths of 35 mm and 25 mm, respectively, were added and hybridized to 1.5% by mass of cement to create hybrid fiber-reinforced concrete mixes. Eight mixes were cast in total. The compressive strength (

Indexed as

glass fibers (GF)high-performance fiber-reinforced concrete (HPFRC)Kevlar fibers (KF)rehabilitation

Identifiers

PMID35454521
PMCPMC9032813

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.