Finite-Element Analysis of GFRP-Reinforced Concrete Frame Knee Joints under Closing Loads
Bibliographic record
Abstract
This paper presents an analytical investigation of glass fiber–reinforced polymer (GFRP) reinforced concrete knee joints subjected to closing moments, with a focus on reinforcement ratio, joint geometry, and confinement stirrups. The study uses the finite-element method with a commercially available code to verify experimental tests and examines the behavior of the knee joints through a parametric study. The concrete damaged plasticity model was used to define the material behavior of concrete, and the effects of different dilation angles were also studied. The average test-to-predicted ratios between finite-element analyses and test results fall within a range of 2% for moment capacities and 5% for deflections at peak. The results indicate that the dilation angle significantly influences the moment capacity and the ultimate deflection of specimens. Proper reinforcement detailing and concrete confinement are found to be important in knee joints, as unconfined specimens failed at significantly lower strengths than their confined counterparts. Incorporating diagonal stirrups in the knee joints is shown to be more effective than utilizing lateral stirrups in enhancing both moment capacity and deflections of the specimens under closing moments. However, placement of lateral stirrups is more practical than diagonal stirrups and it is shown that lateral stirrups increase the capacity of the joints to acceptable levels.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".