Study on size effect of fibre reinforced polymer retrofitted reinforced concrete beam–column connections under cyclic loading
Bibliographic record
Abstract
Studies related to size effect are crucial for reliable assessment of behaviour of structural components subjected to dynamic loadings. The available theories of material behaviour that predict size effects are receiving increasing attention in the technical literature nowadays. This paper presents a study on size effect of fibre reinforced polymer retrofitted reinforced concrete beam–column connections based on experimental investigation under displacement controlled cyclic loading. Three different sizes of geometrically similar specimens have been considered to explore the possible existence of size effect. It was observed that the experimental results corroborate closely the size effect law proposed by Bazănt in all the cases studied. A parameter, energy dissipation of specimens per unit volume was introduced and its correlations with different drift angles for different sizes of the specimen exhibit the existence of size effect. Comparisons were also made among the tests results of control and retrofitted specimens in terms of gain in ultimate load carrying capacity and existence of size effect was distinctly observed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".