Evidence map›Paper›PMID 41807507›Full record

ArticleScientific reports2026

Simultaneous effect of ZnO nanoparticles and silica fume on the mechanical properties of the concrete.

Mukesh Kumar, Manjeet Bansal, Bal Krishan, Rishav Garg, Abdullah Naser M Asiri, Saiful Islam, Wahaj Ahmad Khan

Abstract read
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
–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

7 authors.

Mukesh KumarCivil Engineering Department, M.R.S.P.T.U, Bathinda, Punjab, India.
Manjeet BansalCivil Engineering Department, M.R.S.P.T.U, Bathinda, Punjab, India. Push_kar5@yahoo.com.
Bal KrishanCivil Engineering Department, M.R.S.P.T.U, Bathinda, Punjab, India.
Rishav GargCivil Engineering Department, Galgotias College of Engineering and Technology, Greater Noida, Greater Noida, Uttar Pradesh, India.
Abdullah Naser M AsiriCivil Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia.
Saiful IslamCivil Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia.
Wahaj Ahmad KhanSchool of Civil Engineering & Architecture, Institute of Technology, Dire-Dawa University, 1362, Dire Dawa, Ethiopia. khanwahajahmad@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work investigates the effects of silica fume (SF) and ZnO nanoparticles in enhancing the mechanical strength and durability of concrete. High-performance concrete specimens (w/b 0.34) were prepared, replacing cement with SF (4–16%) and combining 8% SF with ZnO (0.3–1.2%). Mechanical strengths and resistance to sulphate and chloride attack were assessed. Results identified 8% SF and 0.9% ZnO as the optimal dosage for ternary blends, yielding a 8.96% increase in compressive strength (p < 0.05) and reducing strength loss by 18.86% under sulphate exposure. Microstructural analysis (XRD and SEM-EDX) confirmed that ZnO acts as a nucleation agent, enhancing matrix densification following the initial retardation period, while SF consumes calcium hydroxide through long-term pozzolanic reactions. This synergistic interaction results in a refined, compact cementitious matrix, consistent with improved retention of mechanical performance under aggressive exposure conditions. Consequently, the optimized SF-ZnO composite offers a robust material for sustainable infrastructure in aggressive environments.

Indexed as

ConcreteMicrostructureSilica fumeStrengthZnO

Identifiers

PMID41807507
PMCPMC13096330

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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.