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Record W4411550556 · doi:10.1080/21650373.2025.2521812

Study of the cementitious ternary LC3 system comprising clinker, metakaolin, and phosphate interburden as a carbonate source

2025· article· en· W4411550556 on OpenAlexaff
Abdelmoujib Bahhou, Yassine Taha, Rachid Hakkou, Mostafa Benzaazoua, Arezki Tagnit‐Hamou

Bibliographic record

VenueJournal of Sustainable Cement-Based Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversité de Sherbrooke
FundersOCP Group
KeywordsMetakaolinCementitiousCarbonateClinker (cement)Ternary operationMaterials sciencePhosphateMineralogyMetallurgyChemistryCementPortland cement

Abstract

fetched live from OpenAlex

Limestone calcined clay cement has been extensively studied in recent years. This research investigates using dolomitic and calcitic materials from phosphate interburden as carbonate sources, combined with clinker and metakaolin as aluminosilicates. Carbonate levels (15–25%) were evaluated in ternary systems and compared to quartz-based controls for compressive strength and hydration products. Calorimetry revealed increased heat release in carbonate systems, with a retardation effect from P2O5. X-ray diffraction and thermogravimetric analyses identified predominant ettringite, portlandite, and carboaluminate hydrates, though their abundance decreased at 25% carbonate substitution due to dilution. Magnesium from dolomite likely formed hydrotalcite hydrate. Optimal mechanical properties were observed at ∼20% carbonate substitution. Carbonates from phosphate interburden outperformed quartz, with minimal differences between dolomitic and calcitic sources. Thermodynamic modeling indicated higher C-S-H content over time, with stabilized ettringite from monocarboaluminate formation. Results demonstrate sustainable benefits of incorporating phosphate interburden in ternary cement systems.

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.

How this classification was reachedexpand

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)0.002
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 score0.055
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable Cement-Based MaterialsSame topicConcrete and Cement Materials ResearchFrench-language works237,207