Innovative Repair of Severely Corroded T-Beams Using Fabric-Reinforced Cementitious Matrix
Bibliographic record
Abstract
This paper offers an innovative technique for rehabilitation of severely corroded reinforced concrete (RC) T-beams using fabric-reinforced cementitious matrix (FRCM). Eight RC T-beam specimens were constructed and tested to failure under four-point load configuration. One beam was neither corroded nor repaired to act as a benchmark. Seven beams were presubjected to accelerated corrosion for 5 months that corresponded to an average tensile steel mass loss of 22%. Corrosion was restricted to the tensile steel located in the middle third of the beam span. Six corroded beams were repaired with either carbon or basalt FRCM system whereas one corroded beam was left unrepaired. The fabrics were internally embedded within the clear cover of the corroded-repaired region and/or externally bonded along the beam span. Corrosion damage significantly reduced the flexural capacity and ductility of the unrepaired beam. The basalt FRCM system could not restore the original flexural capacity of the beam whereas the carbon FRCM system fully restored the capacity. Doubling the amount of the internally embedded carbon FRCM layers slightly increased the strength gain but restored only 90% of the original beam ductility. The use of a combination of internally embedded and externally bonded carbon FRCM layers was more effective in improving the flexural response than the use of same amount of FRCM layers internally embedded within the corroded-repaired region.
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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".