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Record W3168430765 · doi:10.1139/cjce-2020-0448

Experimental determination of the residual compressive strength of fire-damaged concrete columns retrofitted using CFRP wrapping

2021· article· en· W3168430765 on OpenAlexaffvenue
Ravali Koppula, Osama Salem, Ahmed Elshaer

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsLakehead University
Fundersnot available
KeywordsMaterials scienceResidual strengthStructural engineeringCompressive strengthComposite materialResidualColumn (typography)EngineeringComputer science

Abstract

fetched live from OpenAlex

The study presented in this paper aimed to experimentally investigate the residual compressive strength of fire-damaged concrete columns retrofitted using carbon fibre-reinforced polymer (CFRP) wrapping sheets. The experimental program involved testing ten column specimens (200 mm × 200 mm × 1500 mm) that were previously exposed to standard fire before being retrofitted using CFRP wrapping sheets. The study imitated a real-life scenario in which concrete columns previously exposed to one- and two-hour standard fire while being subjected to service loads (20% and 40% of the column’s ultimate design capacity) were retrofitted using one and two layers of CFRP wrapping sheets. The test results showed that the effect of increasing the applied load ratio in reducing the post-fire residual compressive strength was more pronounced in the columns wrapped with two layers of CFRP sheets and exposed to a longer fire duration (2 h).

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 score0.082
Threshold uncertainty score0.752

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 head0.010
GPT teacher head0.202
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

Citations2
Published2021
Admission routes2
Has abstractyes

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