Experimental investigation on seismically deficient RC bridge columns strengthened with prestressed vertical Fe-SMA plates and confined with CFRP wraps and UHPFRC jacket
Bibliographic record
Abstract
This paper presents the experimental investigation of a novel prestressed flexural strengthening system employing Fe-SMA plates utilized vertically on both sides of seismically deficient RC columns to enhance their lateral cyclic response. In addition, passive confinement using CFRP and UHPFRC jackets, alongside the vertical Fe-SMA plates, were incorporated to determine their further effect on Fe-SMA strengthened columns. The study included four columns. One column was strengthened in flexure only using vertical Fe-SMA plates along the column’s potential plastic hinge length. The other two columns also received the same Fe-SMA flexural strengthening system , in addition to CFRP and UHPFRC jacketing, which was applied to each column separately. The last column was left unstrengthened for comparison. The vertical Fe-SMA plates were heated above 250 ℃ to induce high recovery stresses, averaging around 308.61 MPa, thereby creating vertical prestressing effects on both sides of the columns. A quasi-static lateral cyclic loading was subjected to all columns. The flexural strengthening system employing vertical prestressed Fe-SMA plates successfully increased the column’s lateral strength , displacement ductility, and energy dissipation capacity by 35.32%, 21.33 %, and 72.60 %, respectively. The addition of CFRP and UHPFRC jacketing further increased the aforementioned parameters considerably. Furthermore, the vertical Fe-SMA plates played a major role in improving the column’s recentering ability.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".