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Record W2002539277 · doi:10.1139/l07-114

Ultra-high performance fibre reinforced concrete mix design in central Canada

2008· article· en· W2002539277 on OpenAlexaffvenueabout
Katrin Habel, Jean‐Philippe Charron, Shadi Braike, R.D. Hooton, Paul Gauvreau, Bruno Massicotte

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsPolytechnique MontréalUniversity of Toronto
Fundersnot available
KeywordsPrecast concreteShrinkageCuring (chemistry)Materials scienceReinforced concreteComposite materialStructural engineeringEngineering

Abstract

fetched live from OpenAlex

The mix design of ultra-high performance fibre reinforced concretes (UHPFRC) produced with locally available materials in Quebec and Ontario is presented. The procedure and results of the optimization of self-consolidating UHPFRC are discussed. The characterization of the retained mixes is presented with regards to strength, heat of hydration, shrinkage, chloride ion permeability, and freeze–thaw resistance. The results show that it is possible to produce self-consolidating UHPFRC with the targeted properties for use in precast products and in situ applications without requiring heat or pressure treatment during curing.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score1.000

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 head0.009
GPT teacher head0.161
Teacher spread0.152 · 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 designSimulation or modeling
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

Citations74
Published2008
Admission routes3
Has abstractyes

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