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Record W4411547237 · doi:10.1002/ces2.70013

Characterization of High Strength Concrete‐Like Glass Ceramics Developed Using Borosilicate Waste Glass and Silicon Carbide

2025· article· en· W4411547237 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Ceramic Engineering & Science · 2025
Typearticle
Languageen
FieldEngineering
TopicRecycling and utilization of industrial and municipal waste in materials production
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBorosilicate glassMaterials scienceCompressive strengthSilicon carbideComposite materialMulliteCeramicSoda-lime glassGlass recyclingGlass-ceramicAbsorption of waterFlexural strength

Abstract

fetched live from OpenAlex

ABSTRACT Concrete‐like materials like glasscrete, woodcrete, hempcrete, and ashcrete present alternatives to traditional concrete used for building materials. This study focused on characterizing concrete‐like glass ceramics to determine its strength for applications where compressive stress and other harsh factors are prevalent. Glass ceramics was developed by combining borosilicate waste glass obtained from laboratory ware with silicon carbide. Which was processed, analyzed, and mixed in three different percentage variation: 60:40, 70:30, and 90:10. The mixed batches were compacted into shapes of tiles and fired at 900°C and the glass ceramics were analyzed by X‐ray diffraction and scanning electron microscopy and property test like compression strength and water absorption were carried out. The resultant glass ceramics indicated a major presence of mullite crystalline phase and a glassy phase, also the property tests showed that the glass ceramics produced exhibit better properties than materials like traditional concrete used for building applications like pavements.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.256
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it