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Record W2058862662 · doi:10.1139/l05-089

Effect of silica fume and lateral confinement on fire endurance of high strength concrete columns

2006· article· en· W2058862662 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2006
Typearticle
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsCement Association of CanadaNational Research Council Canada
FundersCement Association of Canada
KeywordsSpallSilica fumeFire resistanceMaterials scienceStructural engineeringReinforced concreteComposite materialEngineeringCompressive strength

Abstract

fetched live from OpenAlex

Fire represents one of the most severe environmental conditions, and therefore should be properly accounted for in the design of structural members. The increased use of high strength concrete (HSC) in buildings has raised concerns regarding the behaviour of such concrete in fire. In particular, spalling at elevated temperatures, as identified in studies by a number of laboratories, is a main concern. In this paper, results from experimental studies on the fire resistance of HSC columns are presented. A comparison is made of the fire resistance performance of HSC columns with and without silica fume and with different confinement configurations. The effect of silica fume and the effect of confinement on the fire performance of HSC columns will be discussed. The results show that the fire endurance of HSC columns with higher silica fume content is lower and the reduced tie spacing and the provision of cross-ties are beneficial in minimizing the spalling in HSC.Key words: fire resistance, high strength concrete, reinforced concrete columns, spalling.

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.

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 score0.267
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.002
GPT teacher head0.156
Teacher spread0.154 · 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