Effect of Mechanically Activated Fly Ash, a Superplasticizer, and an Air-Entraining Admixture on the Freeze-Thaw Resistance of Fine-Grained Concrete.

Nazerke Berdikul, Ina Pundienė, Kenzhebek Akmalaiuly, Jolanta Pranckevičienė, Elmira Kurmanbekova, Yerlan Khamza, Aigerim Tolegenova, Assel Kanarbay

Abstract read

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In one paragraph

Article in Materials (Basel, Switzerland), 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

8 authors.

Nazerke BerdikulDepartment of Construction and Building Materials, Satbayev University, Satbayev Street 22, Almaty 050013, Kazakhstan.ORCID 0000-0001-6233-109X

Ina PundienėLaboratory of Concrete Technology, Institute of Building Materials, Vilnius Gediminas Technical University, Linkmenų Str. 28, LT-08217 Vilnius, Lithuania.ORCID 0000-0001-9692-0247

Kenzhebek AkmalaiulyDepartment of Construction and Building Materials, Satbayev University, Satbayev Street 22, Almaty 050013, Kazakhstan.

Jolanta PranckevičienėLaboratory of Concrete Technology, Institute of Building Materials, Vilnius Gediminas Technical University, Linkmenų Str. 28, LT-08217 Vilnius, Lithuania.ORCID 0000-0002-9477-4212

Elmira KurmanbekovaSchool of Engineering, International Educational Corporation, Ryskulbekov Street 28, Almaty 050043, Kazakhstan.ORCID 0000-0002-9175-5542

Yerlan KhamzaDepartment of Construction and Building Materials, Satbayev University, Satbayev Street 22, Almaty 050013, Kazakhstan.

Aigerim TolegenovaDepartment of Construction and Building Materials, Satbayev University, Satbayev Street 22, Almaty 050013, Kazakhstan.ORCID 0000-0003-1312-4101

Assel KanarbayDepartment of Construction and Building Materials, Satbayev University, Satbayev Street 22, Almaty 050013, Kazakhstan.ORCID 0009-0009-3113-1437

Funding

The Science Committee of the Ministry of Science and Higher 897 Education of the Republic of Kazakhstan AP25794279

6 · The paper itself

Abstract

This study examines how mechanically activated fly ash (TF), a polycarboxylate superplasticizer (PC), and an air-entraining admixture (AE) affect the hydration, microstructure, pore structure, mechanical properties, and freeze-thaw resistance of fine-grained concrete. Mechanical activation increased the specific surface area of the untreated ash (UF) from 3710 to 6450 cm

Indexed as

chemical admixturesfly ashfreeze–thaw durabilitymechanical activationmicrostructurepore structure

Identifiers

PMID42738213

DOI10.3390/ma19173777

PMCPMC13567138

What OpenQuestion holds

Textmetadata

Read underepoch 390

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.