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Record W2056616829 · doi:10.1139/l07-063

Stresses induced by alkali–silica reactivity in prototypes of reinforced concrete columns incorporating various types of reactive aggregates

2007· article· en· W2056616829 on OpenAlexafffundvenue
Nizar Smaoui, B. Bissonnette, M.A. Bérubé, Benoît Fournier

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2007
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsUniversité LavalNatural Resources Canada
FundersNatural Sciences and Engineering Research Council of CanadaMinistère des Transports
KeywordsTransverse planeMaterials scienceComposite materialTension (geology)PerpendicularRodStructural engineeringWeldingUltimate tensile strengthEngineeringGeometry

Abstract

fetched live from OpenAlex

Prototypes of columns were cast with different percentages of rebars and stirrups and various alkali–silica reactive aggregates. The deformations of concrete were measured along the three directions using surface metal studs and internal vibrating wire gauges. The deformations of steel were measured using fiber-optic gauges and short rods welded to rebars and stirrups. Along each direction, the deformations of concrete and steel were quite similar up to 0.08% longitudinal expansion, beyond which the rebars were generally showing less (longitudinal) expansion than concrete. The rebars reduced the longitudinal expansion; the higher the percentage of longitudinal steel, the higher this reduction. On the other hand, the expansion increased in the other two transverse directions to give comparable volumetric expansions for all specimens of the same mixture, with or without relatively spaced-out stirrups. The transverse expansion perpendicular to the casting plane was always higher than the transverse expansion parallel to this plane. The rebars were tensioned up to 280 MPa. The concrete was prestressed parallel to the rebars, up to 3.3 MPa. For their part, the stirrups were highly stressed in tension and flexure, and usually reached plastification.

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)0.001
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 score0.056
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.008
GPT teacher head0.199
Teacher spread0.192 · 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

Citations15
Published2007
Admission routes3
Has abstractyes

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