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Record W2189054037

Equivalent Performance with Half the Clinker Content using PLC and SCM

2010· article· en· W2189054037 on OpenAlexaffabout
M D Thomas, Kevin Cail, Bruce G. Blair, Anik Delagrave, Laurent Barcelo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPortland cementClinker (cement)CementitiousCementMaterials scienceDurabilityEnvironmental scienceWaste managementMetallurgyComposite materialEngineering
DOInot available

Abstract

fetched live from OpenAlex

In response to growing pressures to reduce the clinker content in cement, the Canadian Standards Association (CSA A3001-08) introduced a new classification of cement in 2008, this being Portland Limestone Cement (PLC) containing up to 15% limestone. This paper presents data from laboratory and field studies on the properties of concrete produced with portland limestone cement (PLC) and moderate to high levels of supplementary cementing materials (SCM). The test data indicate that PLC with up to 15% limestone can be manufactured to produce equivalent performance to a portland cement (PC) in terms of concrete strength and other properties, including durability. The equivalent performance is achieved by optimizing the PLC with regards to composition and particle-size distribution, and requires intergrinding rather than blending of the portland cement and limestone. The performance of concrete produced with PLC in combination with a wide range of SCM is also equivalent to that of concrete produced with PC and the same SCM. Full-scale field trials have been conducted with concretes with blends of PLC and SCM and these concretes provide similar or improved performance compared to PC concrete; in one case the clinker content represented less than 50% of the total cementitious material. A clinker reduction of 50% represents a very significant reduction in the carbon footprint associated with the production of portland cement clinker.

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)0.000
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 score0.294
Threshold uncertainty score0.306

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 head0.044
GPT teacher head0.230
Teacher spread0.186 · 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

Citations8
Published2010
Admission routes2
Has abstractyes

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