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Record W2233581622 · doi:10.1139/l11-126

Evaluation of fibre-reinforced polymer post-tensioned slab bridges using the Canadian Highway Bridge Design Code

2012· article· en· W2233581622 on OpenAlexafffundvenueabout
Martin Noël, Khaled Soudki

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2012
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaKing Saud University
KeywordsServiceability (structure)Fibre-reinforced plasticSlabStructural engineeringReinforcementCorrosionMaterials scienceStiffnessReinforced concreteShear (geology)Flexural strengthPrestressed concreteComposite materialEngineering

Abstract

fetched live from OpenAlex

Corrosion of steel reinforcement is a major concern for bridges throughout Canada, particularly where deicing salts are used. Fibre-reinforced polymers (FRPs) are not susceptible to corrosion, making them an attractive alternative to internal steel reinforcement for Canadian bridges. Due to the low stiffness of FRP materials, concrete members tend to have high deflections and large crack widths at service loads with serviceability limits governing their design. In addition, they tend to have lower shear capacities compared to similar steel-reinforced members. This study focuses on glass FRP (GFRP) reinforced slab strips cast with self-consolidating concrete (SCC) and post-tensioned with carbon FRP (CFRP) tendons to improve their serviceability, shear capacity, and deformability. The experimental results highlight the potential of an FRP reinforcement system for slab bridges combining passive GFRP reinforcement with prestressed CFRP tendons. The flexural performance of five FRP-reinforced slabs and one steel-reinforced control slab are compared to the design provisions of the Canadian Highway Bridge Design Code.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.040
GPT teacher head0.238
Teacher spread0.198 · 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 designSimulation or modeling
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

Citations6
Published2012
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Journal of Civil EngineeringSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207