Evidence map›Paper›PMID 40942572›Full record

ArticleMaterials (Basel, Switzerland)2025

A New Classification Method for High-Volume Fly Ash: Performance Based on Coal Source and Particle Size.

Xiangnan Ji, Chen Zhang, Yaru Yang, Jiahao Zhang, Lin Tang, Dongxu Ji

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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.

Xiangnan JiDevelopment Research Center for Natural Resources and Real Estate Assessment Shenzhen, Shenzhen 518000, China.ORCID 0000-0003-4369-9731
Chen ZhangSchool of Maritime Law and Traffic Management, Guangzhou Maritime University, Guangzhou 510725, China.
Yaru YangDepartment of Architecture, Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 808-0135, Japan.
Jiahao ZhangFaculty of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, China.ORCID 0000-0002-3331-3092
Lin TangDevelopment Research Center for Natural Resources and Real Estate Assessment Shenzhen, Shenzhen 518000, China.
Dongxu JiSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0003-3743-0939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the impact of particle size in fly ash derived from different coal sources on the performance of fly ash-cement systems. Utilizing a newly developed flotation classification method, physical properties of fly ash were examined to reveal variations among different particle sizes and coal sources. Thermal analysis was employed to analyze the calcium hydroxide content's effect on the cement system, while selective dissolution methods were used to assess reaction rates. XRD analysis confirmed particle size effects. Results indicate that flotation classification optimizes the properties of fly ash, enhancing activity and flow values, where some of the ash fractions exhibit overall superior properties. The use of high-volume fly ash (50% fly ash replacement) promotes continued pozzolanic reactions, especially with smaller particle sizes. Reaction rates decrease with larger particle sizes, emphasizing the importance of classification. XRD analysis further supports these findings, revealing that smaller particle sizes favor cement hydration and pozzolanic reactions. Overall, this study provides insights into optimizing fly ash properties for enhanced concrete performance.

Indexed as

flotation classificationfly ashparticle sizepozzolanic reactionsthermal analysisXRD

Identifiers

PMID40942572
PMCPMC12430163

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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.