Behavior of Slender GFRP Reinforced Concrete Columns
Bibliographic record
Abstract
This paper presents an experimental and analytical study on slender concrete columns reinforced with glass fiber-reinforced polymer (GFRP) bars. The experimental program included ten concrete columns with rectangular cross-section (203×305 mm) where nine of them were reinforced with #6 GFRP bars and one of them was reinforced with steel rebars. Three different reinforcement ratios of 4.70, 2.82, and 2.04 as well as four slenderness ratios of 17, 22, 40, and 60 were considered under two load eccentricities of 0.1 and 0.25 of width of the cross-section. The analytical model considered the material nonlinearity as well as the geometric nonlinearity. The model was verified against an independent experimental program. The model showed that as the load eccentricity and slenderness ratio increase, the load capacity decreases and as the reinforcement ratios increases, the load capacity slightly increases which shows effectiveness of GFRP bars in compression.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".