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Lap Splice in GFRP-RC Rectangular Columns Subjected to Cyclic-Reversed Loads

2016· article· en· W2558073569 on OpenAlexafffund
Syed Naqvi, Ehab El-Salakawy

Bibliographic record

VenueJournal of Composites for Construction · 2016
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceReinforcementFibre-reinforced plasticStructural engineeringspliceComposite materialColumn (typography)StirrupTransverse planeReinforced concreteBar (unit)Shear (geology)HysteresisEngineeringGeology

Abstract

fetched live from OpenAlex

This paper presents the experimental results of five full-scale glass fiber–reinforced polymer (GFRP) reinforced concrete (RC) columns with lap splices under axial and cyclic-reversed loads. One additional reference column was reinforced with steel bars and stirrups for comparison purposes. The column specimens had a 350-mm square cross section with 1,650-mm shear span. Each specimen represented the lower segment of a first-story column between the footing and the point of contraflexure. The test parameters included type of reinforcement, lap splice length of longitudinal reinforcement and transverse reinforcement spacing. Test results indicated that a splice length of 60 times the diameter of the longitudinal column bar was adequate in transferring the full bond forces along the splice length. In addition, lap-spliced GFRP-RC columns with closely spaced transverse reinforcement showed stable hysteresis response and achieved high levels of deformability, which far exceeded the limitations of the North American building codes.

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 score0.030
Threshold uncertainty score0.599

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 head0.006
GPT teacher head0.217
Teacher spread0.211 · 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

Citations28
Published2016
Admission routes2
Has abstractyes

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