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Record W2064832605 · doi:10.1260/2040-2317.3.4.311

Fire Performance of Corrosion-Damaged Reinforced Concrete Beams

2012· article· en· W2064832605 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.

Bibliographic record

VenueJournal of Structural Fire Engineering · 2012
Typearticle
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsCarleton University
Fundersnot available
KeywordsCorrosionConcrete coverMaterials scienceDeflection (physics)Reinforced concreteComposite materialPenetration (warfare)DurabilityStructural engineeringReinforcementEngineering

Abstract

fetched live from OpenAlex

This experimental study examines the effects of fire on corrosion-damaged reinforced concrete beams. Nine beams were cast with the same external dimensions and amount of reinforcement. Corrosion was induced in the beams by a constant current source. The beams were tested at constant service load while being exposed to the CAN/ULC-S101 time-temperature curve. The results indicated that the deflection of reinforced concrete beams increased during a fire exposure as the level of corrosion damage increased. The corrosion products within the pores of the concrete provided a limited insulating effect on the heat front penetration through the concrete cover. Temperature differential developed at the steel level was shown to help delay failure of the beams by the development of the axial thrust force. A major factor affecting the performance of corrosion damaged beams during a fire exposure was the ability of the concrete cover to remain in place.

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 score0.294
Threshold uncertainty score0.977

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 communication0.0000.001
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 head0.005
GPT teacher head0.190
Teacher spread0.185 · 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