Evidence map›Paper›PMID 42395959›Full record

ArticleACS omega2026

Effect of Granodiorite Sand Content and Particle Size on the Mechanical and Thermal Performance of Metakaolin-Based Geopolymer Mortar.

Yildiz Yildirim, Gurkan Akarken, Gokçe Kayatepe, Ugur Cengiz

Abstract read
In one paragraph

Article in ACS omega, 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.

Yildiz YildirimKale Ceramic R&D Department, Kale Group, 17430 Çan, Çanakkale, Türkiye.
Gurkan AkarkenDepartment of Energy Resources and Management, Faculty of Engineering, Çanakkale Onsekiz Mart University, 17010 Çanakkale, Türkiye.
Gokçe KayatepeDepartment of Energy Resources and Management, Faculty of Engineering, Çanakkale Onsekiz Mart University, 17010 Çanakkale, Türkiye.
Ugur CengizAFC Green Technologies R&D, Canakkale Technopark, Sarıcaeli, 17100 Çanakkale, Türkiye.ORCID https://orcid.org/0000-0002-0400-3351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the coupled effects of granodiorite sand particle size and content on the mechanical and thermal performance of metakaolin-based geopolymer systems are systematically investigated using a holistic, geometry-sensitive approach. For block-type specimens compressive and flexural strengths, together with postheating mass loss after exposure to 300 °C, are evaluated to elucidate strength retention and thermal stability. The results demonstrate that granodiorite particle size plays a decisive role in governing the balance between mechanical integrity and thermal insulation. Coarse particles (0.5-1.0 mm) at 30 wt % content provided the highest mechanical performance, achieving a compressive strength of approximately 50-68 MPa depending on the skeletal structure formation. Thermal stability tests at 300 °C showed that incorporating granodiorite effectively controlled degradation, with mass loss ranging from 3.4% to 9.1%, where the BG1-20 composition outperformed the control sample's 5.7% loss. For plate-type specimens, thermal insulation was assessed under 700 °C flame loading. Fine granodiorite particles (<0.25 mm) markedly improved insulation by reducing back-surface temperatures to as low as 93 °C, significantly lower than the 207 °C observed with coarse particles. Overall, the findings reveal an inverse yet predictable relationship between mechanical strength and thermal insulation, providing a rational framework for designing geopolymer blocks and plates tailored to application-specific requirements.

Identifiers

PMID42395959
PMCPMC13325165

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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.