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Record W6990902120

Evaluating the fire performance of FRP-strengthened concrete structures

2004· article· en· W6990902120 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2004
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsFire safetyFibre-reinforced plasticRehabilitationStructural systemFire resistanceReinforced concrete
DOInot available

Abstract

fetched live from OpenAlex

The infrastructure of the developed world, essential for economic health and prosperity, is crumbling. Decades of neglect and overuse have resulted in unacceptable levels of deterioration to roads, buildings and bridges, and new materials and techniques are urgently needed for structural rehabilitation and strengthening. Fibre reinforced polymers (FRPs), which represent a new class of high-strength, non-corrosive, and lightweight structural rehabilitation and construction materials, have garnered significant research attention in recent years, and their effectiveness as externally-bonded repair materials for concrete is now widely recognized. Nevertheless, the high-temperature performance of FRP materials remains largely unknown, and this issue urgently needs addressing before FRP materials can be used with confidence in buildings and other structures where fire safety is a critical design consideration. Tragic events in recent years have demonstrated that design for fire safety is critically important for public safety. In addition, recent research gap analyses for the use of FRP materials in structural applications have identified fire performance as an area in which additional information is urgently required.

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 score0.085
Threshold uncertainty score0.444

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 head0.023
GPT teacher head0.272
Teacher spread0.248 · 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

Citations4
Published2004
Admission routes2
Has abstractyes

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