GLASS FRP JACKETING OF PRESTRESSED CONCRETE BEAMS
Bibliographic record
Abstract
Like many other authorities, the Ministère des Transports du Québec must deal with problems caused by the corrosion of steel reinforcement in bridges. This research project focuses on a particular problem encountered on many AASHTO-type prestressed concrete beams. Those beams, which are otherwise in good condition and of adequate strength, are often damaged by localized but severe concrete delamination. After repeated repair works on bridges built over roadways, the preferred solution is sometimes complete replacement, in order to ensure the safety of people and vehicles. The research project presented here evaluates an alternative jacketing solution using glass FRP to prevent the concrete cover that is delaminated by the corrosion of steel stirrups from falling. The first phase of the project consisted of laboratory tests conducted on beam segments salvaged from a bridge in order to evaluate various parameters of GFRP jacketing. The test results indicate that the jacketing is able to support many times the expected weight of the delaminated concrete, and suffers no significant deterioration during freeze/thaw cycles. The second phase involved installing the approved solution on real bridges in service in Montréal. The cost efficiency and the service life expectation for this bridge repair solution will be evaluated. 1.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".