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Slender GFRP-RC Circular Columns under Concentric, Eccentric, and Flexural Loads: Experimental Investigation

2021· article· en· W3152786694 on OpenAlex

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Bridge Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsEccentricity (behavior)Fibre-reinforced plasticStructural engineeringMaterials scienceBucklingConcentricBendingStiffnessFlexural strengthComposite materialReinforcementGeometryEngineeringMathematics

Abstract

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The experimental results for large-scale slender circular reinforced concrete (RC) columns are presented and discussed in this study. One reference column was reinforced with steel bars and spirals, and five columns were reinforced with glass fiber–reinforced polymer (GFRP) bars and spirals. The columns were tested under axial loads with variable eccentricities or flexural loading configurations. The test variables included reinforcement type (GFRP and steel), loading type (axial and four-point bending), the ratio of eccentricity-to-column diameter, and the slenderness ratio. Test results revealed that as the eccentricity increased, the peak axial load and the axial and lateral stiffness decreased significantly. Similarly, for the same eccentricity, a reduction in the peak load and both axial and lateral stiffnesses was observed when the slenderness ratio increased. In addition, interaction diagrams for circular GFRP-RC short and slender columns were developed from the experimental results and compared to those obtained analytically. Moreover, a simple modification to account for the slenderness effect on the interaction diagram was proposed.

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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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score1.000

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 head0.015
GPT teacher head0.219
Teacher spread0.204 · 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