MétaCan
Menu
Back to cohort
Record W65925986

Durability of GFRP composite rods : Results from preliminary field tests don't match data from accelerated lab tests

2007· article· en· W65925986 on OpenAlexaboutno aff
Aftab A. Mufti, Nemkumar Banthia, Brahim Benmokrane, Mohamed Boulfiza, John Newhook

Bibliographic record

VenueACI Concrete International · 2007
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
Fundersnot available
KeywordsDurabilityFibre-reinforced plasticCorrosionMaterials scienceInertRodComposite materialGlass fiberReinforcementStructural engineeringForensic engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

A primary durability concern in concrete structures with high exposure to chlorides is rapid corrosion rates of reinforcing steel. Chemically-inert materials such as fiber-reinforced polymers have been suggested as reinforcing alternatives that eliminate corrosion. Glass-fiber-reinforced polymer (GFRP) is the most economical of these, but has been reported to be very vulnerable to concrete's highly alkaline environment. Studies conducted in idealized simulated environments found GFRP should not be in contact with concrete. Simulated conditions included unlimited hydroxyl ion supply, not present in actual conditions, and full saturation, rare in actual conditions. Intelligent Sensing for Innovative Structures Canada (ISIS Canada) conducted a major 2004 field study on GFRP rods in a variety of bridges. The results contradicted those gained in laboratory environments. It found no degradation of GFRP in structures exposed to natural environmental conditions for 5-8 years. Results were the basis for a new version of the Canadian Highway Bridge Design Code, allowing use of GFRP both as primary reinforcement and prestressing tendons in concrete components under certain stress levels.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.300
Teacher spread0.257 · 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.

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

Citations9
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueACI Concrete InternationalSame topicConcrete Corrosion and DurabilityFrench-language works237,207