Rehabilitation of concentric reinforced concrete columns pre-damaged by corrosion using advanced composites
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Reinforced concrete (RC) columns in aggressive environments are prone to corrosion-induced deterioration, leading to substantial loss in load-carrying capacity. Seven circular RC columns with up to 27 % and 45 % corrosion in the longitudinal and transverse steel, respectively, were tested in this study to evaluate the effectiveness of carbon fiber-reinforced polymer (C-FRP) and carbon fabric-reinforced cementitious matrix (C-FRCM) in repairing such corroded RC columns. The results demonstrated that corrosion of reinforcement reduced the column’s axial strength by up to 40 %, but both repair systems restored the original capacity. The C-FRP repair technique provided superior strength enhancement (118 %–131 % increase) compared to that of C-FRCM (51 %–71 % increase) due to better confinement effectiveness. However, the columns repaired with C-FRCM exhibited a more gradual post-peak degradation, contributing to improved ductility. A new analytical model was proposed and validated against test results to predict the axial strength of the columns before and after repair. The model accounts for corrosion effects and the interaction between the internal steel tie confinement and external composite wrapping, providing a comprehensive and realistic assessment of the column’s strength. The findings support the use of advanced composites in the practical rehabilitation of corrosion-damaged RC columns.
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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 it