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Record W4406570101 · doi:10.1080/21650373.2025.2453556

Microstructure and durability of low-clinker carbonated mortars containing metakaolin and brick powder

2025· article· en· W4406570101 on OpenAlexaff
Souheyla Benamar, Youcef Houmadi, Hocine Siad, Rachid Cherif, Abdelkarim Aït-Mokhtar, Mohamed Lachemi

Bibliographic record

VenueJournal of Sustainable Cement-Based Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMetakaolinDurabilityMortarMicrostructureBrickClinker (cement)Materials scienceMetallurgyComposite materialCompressive strengthPortland cementCement

Abstract

fetched live from OpenAlex

In this paper, the effect of the incorporation of metakaolin and brick powder on the durability properties of mortars was investigated. Mortars with a water-to-binder ratio of 0.5 and different substitutions of Portland cement by metakaolin (MK) and brick powder (BP) were tested. The experimental program covers compressive strength, natural and accelerated carbonation, capillary absorption, water porosimetry, water-vapor transmission permeability (WVTP), thermogravimetry analyses, and cracking tests. Results show that cement substitution by MK or BP improves the compressive strength of mortars, and the optimum content for achieving the best compressive strength is 25% for MK and 15% for BP. With regard to durability properties, the incorporation of MK and BP in mortars reduces their capillary absorption, total porosity, water-vapor transmission permeability, and resistance to carbonation. Noted that the mortar carbonation can considerably affect the durability properties, especially by an increase in the capillary absorption, total porosity, and WVTP.

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)0.001
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 score0.009
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.237
Teacher spread0.231 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

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