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Record W2404845581 · doi:10.1080/21650373.2015.1047913

Low temperature synthesis of cement from ladle slag and fly ash

2015· article· en· W2404845581 on OpenAlexafffund
Mehrdad Mahoutian, Yixin Shao

Bibliographic record

VenueJournal of Sustainable Cement-Based Materials · 2015
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsMcGill University
FundersFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsCarbonationFly ashCementSlag (welding)Materials scienceLadleCalcium silicateWaste managementMetallurgyComposite materialEngineering

Abstract

fetched live from OpenAlex

This study investigates the feasibility of producing environmentally friendly cement exclusively from industry wastes: ladle slag fines and fly ash. A low temperature clinkering process was implemented to produce a cement material capable of gaining early strength by carbonation and late strength by hydration. The optimum uses of fly ash and clinkering temperature were determined by undergoing meticulous parametric studies. The results of this investigation demonstrate that the higher the clinkering temperatures used, the higher the carbonation and hydration reactivity of the cement. The optimal fly ash ratio and temperature for synthesizing cement was found as 30% and 1250 °C, respectively. The composite action generated by calcium carbonates and calcium silicate hydrates eventually plays an important role in gaining the strength. Production of cement with ladle slag and fly ash at low temperature can reduce the energy consumption, the natural resources consumption, landfills disposal cost, and the total CO2 emission.

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 categoriesInsufficient payload (model declined to judge)
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 score0.003
Threshold uncertainty score1.000

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)0.0010.000

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 head0.011
GPT teacher head0.224
Teacher spread0.213 · 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.

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

Citations27
Published2015
Admission routes2
Has abstractyes

Explore more

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