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Record W4250833178 · doi:10.32920/ryerson.14656974

Bond characteristics of glass fibre reinforced polymer bars embedded in high performance and ultra-high performance concrete

2021· preprint· en· W4250833178 on OpenAlexafffund
Dave Ametrano

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsToronto Metropolitan University
FundersMinistère des Transports
KeywordsFibre-reinforced plasticEmbedmentMaterials scienceReinforcementBond strengthBar (unit)Composite materialConcrete coverStructural engineeringBondGlass fiberSteel barBeam (structure)AdhesiveEngineering

Abstract

fetched live from OpenAlex

The use of fibre reinforced polymer (FRP) bars is increasing in construction as an alternative to conventional steel rebars. This thesis investigates the bond behaviour of glass fibre reinforced polymer (GFRP) bars embedded in high performance concrete (HPC) and ultra-high performance concrete (UHPC). In this study, the bond characteristics of sand coated GFRP bars embedded in 70-175 MPa concrete were explored. Beam and pullout tests were performed to determine the effects of the concrete strength, bar diameter, embedment length, and concrete cover on the bond behaviour of GFRP bars. Based on the analysis, the development lengths for the GFRP bars were determined and then compared to requirements provided by design codes. It was concluded that the design code lengths could be reduced by 20% while still maintaining a factor of safety of two over the development lengths determined through this study. This reduction can be applied when the GFRP bar is surrounded by sufficient transverse reinforcement, such that adding additional reinforcement would not affect the bond strength. Reducing the amount of GFRP reinforcing material needed, results in a lower overall cost of construction.

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 categoriesMeta-epidemiology (narrow)
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 score0.067
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.202
Teacher spread0.195 · 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

Citations19
Published2021
Admission routes2
Has abstractyes

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