Evidence map›Paper›PMID 41577893›Full record

ArticleScientific reports2026

Frost resistance improvement of recycled powder concrete by chemical admixtures.

Can Yang, Wenjuan Zhou, Handi Zhao, Mingli Zhou

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

4 authors.

Can YangSchool of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China. canyang1105@163.com.
Wenjuan ZhouSchool of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China.
Handi ZhaoSchool of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China.
Mingli ZhouSchool of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China.

Funding

the Key Research and Development Project of the 14th Five-year Plan of China 2022YFC3803403-02
6 · The paper itself

Abstract

The sustainable recycling of construction waste is a critical challenge in civil engineering. Recycled powder (RP) shows great potential as a supplementary cementitious material, but the deterioration in frost resistance it causes limits the application of recycled powder concrete (RPC) in cold regions. This study screened the polycarboxylate superplasticizer (PC) with optimal compatibility with RP through adsorption tests and systematically compared the improvement effects of antifreeze water-reducer (AR), air-entraining agent (AE), and antifreeze agent (AF) on frost resistance. Macroscopic properties were evaluated via freeze-thaw cycle tests, and microscopic mechanisms were analyzed using scanning electron microscopy (SEM), super depth of field (SDF) imaging, and mercury intrusion porosimetry (MIP). Results indicated that after 200 freeze-thaw cycles, the frost resistance improvement ranked as 1% AF > AR > 5% AE. Quantitative analysis revealed that AF optimized the pore structure, reducing the proportion of harmful pores > 200 nm by 8.73%, significantly increasing hydration products, and effectively inhibiting frost heave damage. The study confirms that AF effectively enhances the durability of RPC, providing technical support for the resource utilization of construction waste in concrete engineering in cold regions.

Indexed as

AdmixturesConstruction waste recyclingFrost resistanceMicrostructureRecycled powder

Identifiers

PMID41577893
PMCPMC12901246

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.