Evidence map›Paper›PMID 42108263›Full record

ArticleScientific reports2026

Investigating the potential of graphene to enhance concrete performance.

Mohammed Firdous Mohammed Kalif, Bahiru Bewket Mitikie, Sofonias Alemayehu Desta, Bypaneni Krishna Chaitanya

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In one paragraph

Article in Scientific reports, 2026. 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

4 authors.

Mohammed Firdous Mohammed KalifDepartment of Civil Engineering, College of Civil Engineering and Architecture, Adama Science and Technology University, Adama, 1888, Ethiopia.
Bahiru Bewket MitikieDepartment of Civil Engineering, College of Civil Engineering and Architecture, Adama Science and Technology University, Adama, 1888, Ethiopia. bahirdire@astu.edu.et.
Sofonias Alemayehu DestaDepartment of Material Science and Engineering, College of mechanical, chemical and material Engineering, Adama Science and Technology University, Adama, Ethiopia.
Bypaneni Krishna ChaitanyaDepartment of Civil Engineering, R.V.R & J.C College of Engineering, Guntur, Andhra Pradesh, 522019, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research evaluated graphene as a functional additive to improve the performance of cementitious composites. It aimed to assess the effect of graphene powder on concrete's mechanical behavior and optimize the mix design. Graphene powder was incorporated into concrete mixtures at dosages ranging from 0.1% to 0.5% by mass of cement. A series of standardized laboratory tests was performed, including compressive strength and flexural measurements in accordance with ASTM C39 and C78 accordingly. Microstructural and chemical characterization of both the graphene and the graphene-modified concrete was conducted using X-ray diffraction (XRD) and Fourier Transform Infrared Spectroscopy (FTIR). Water absorption tests were performed to assess permeability-related properties, and Scanning Electron Microscopy (SEM) was employed to investigate the distribution and dispersion of graphene within the cementitious matrix. At the optimal graphene dosage with 0.4% by cement weight, the compressive strength reached 25.16 N/mm² at 7 days and 37.75 N/mm² at 28 days, while the corresponding flexural strengths were 2.985 N/mm² and 4.47 N/mm², respectively. XRD analysis confirmed the successful incorporation of graphene, as indicated by a characteristic diffraction peak at approximately 26.5°. Water absorption results showed a reduction in permeability, implying improved resistance to fluid ingress and enhanced durability. It shows that graphene can reduce cement, supporting more sustainable construction.

Indexed as

Cement reductionConcreteDurabilityGrapheneMechanical propertiesMicrostructure

Identifiers

PMID42108263
PMCPMC13272653

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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.