Evidence map›Paper›PMID 40572971›Full record

ArticleMaterials (Basel, Switzerland)2025

Optimizing the Composition of Geopolymer Composites Incorporating Secondary Aluminium Industry By-Products Using Mathematical Modelling.

Artem Sharko, Van Su Le, Oleksandr Sharko, Dmitry Stepanchikov, Pavel Srb, Michal Petrů, Petr Louda, Petro Movchan, Katarzyna Ewa Łoś

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

9 authors.

Artem SharkoInstitute of New Technologies and Applied Informatics, Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, Studentská 1402/2, 46117 Liberec, Czech Republic.
Van Su LeDepartment of Machine Parts and Mechanism, Faculty of Mechanical Engineering, Technical University of Liberec, Studentská 1402/2, 46117 Liberec, Czech Republic.ORCID 0000-0001-8070-5497
Oleksandr SharkoDepartment of Transport Technologies and Ship Repair, Kherson State Maritime Academy, 73000 Kherson, Ukraine.
Dmitry StepanchikovDepartment of Energetics, Electrical Engineering, and Physics, Kherson National Technical University, 73008 Kherson, Ukraine.ORCID 0000-0001-5027-2213
Pavel SrbDepartment of Machine Parts and Mechanism, Faculty of Mechanical Engineering, Technical University of Liberec, Studentská 1402/2, 46117 Liberec, Czech Republic.
Michal PetrůDepartment of Machine Parts and Mechanism, Faculty of Mechanical Engineering, Technical University of Liberec, Studentská 1402/2, 46117 Liberec, Czech Republic.ORCID 0000-0002-7643-8450
Petr LoudaPolytechnic Faculty, University of Kalisz, Nowy Świat Str. 4, 62-800 Kalisz, Poland.
Petro MovchanDepartment of Transport Technologies and Ship Repair, Kherson State Maritime Academy, 73000 Kherson, Ukraine.ORCID 0009-0003-1004-6651
Katarzyna Ewa ŁośDepartment of Machine Parts and Mechanism, Faculty of Mechanical Engineering, Technical University of Liberec, Studentská 1402/2, 46117 Liberec, Czech Republic.ORCID 0000-0002-6869-1392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geopolymer composite materials are a viable alternative to conventional construction materials. The research problem of geopolymer composites revolves around the imperative to comprehensively address their synthesis, structural performance, and environmental impact. The derived mathematical model facilitates precisely determining the optimal proportions of two crucial constituents in the geopolymer matrix: silica sand and secondary aluminum by-product. A mathematical model for optimizing the composition of geopolymer composites has been developed based on the integrated use of Markov chains, criterion methods, and an orthogonally compositional plan. The optimal composition of the geopolymer matrix is determined and predicted using a mathematical model. Specifically, the recommended content mixing ratio is as follows: metakaolin at 1000 g, activator at 900 g, silica fume at 1052.826 g, carbon fibre at 10 g, and secondary aluminum by-product at 62.493 g. This study analyzes the influence of different secondary aluminum industry by-products on the geopolymerization process and assesses the mechanical, thermal, and environmental properties of the resulting composites to establish a comprehensive understanding of their structural viability.

Indexed as

compositiongeopolymersoptimizationpropertiesrenewable raw materialsstructuretechnology

Identifiers

PMID40572971
PMCPMC12195140

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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.