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Record W1930729377 · doi:10.4224/20377587

Fire performance of FRP systems for infrastructure: a state-of-the-art report

2005· article· en· W1930729377 on OpenAlex
La Bisby, Brea Williams, Vrk Kodur, Mf Green, Ershad U. Chowdhury

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNPARC · 2005
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
Fundersnot available
KeywordsFibre-reinforced plasticForensic engineeringCorrosionReinforced concreteCivil engineeringFire resistanceEngineeringStructural engineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Widespread deterioration of infrastructure resulting from corrosion of reinforcing steel in concrete has led recently to the use of fibre reinforced polymers (FRPs) in a number of infrastructure applications. A significant research effort over the past fifteen years has shown that FRP materials can be effectively used to reinforce and/or strengthen deteriorated or under strength reinforced concrete structures. However, the performance of FRP materials in fire remains a serious concern, which needs to be addressed before these materials can be used with confidence in applications where fire endurance is a design criterion (i.e. buildings, parking garages, etc.). This report presents a review of the literature with respect to the fire and high temperature behaviour of FRP composites as is relevant to the design and construction of FRP-strengthened or reinforced concrete structures.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.372

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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