The Development of GFRP Bridge Deck Modules
Bibliographic record
Abstract
The highway infrastructure industry must meet a critical demand for the repair or replacement of thousands of bridge decks. These decks are reaching the end of their service lives and are suffering the effects of cracking and spalling concrete and corroding steel reinforcement. This project investigates the replacement of these bridge decks with glass fibre reinforced polymer (GFRP) deck modules. These innovative modules offer lightweight, ease of installation and durability. Wardrop Engineering Inc. designed prototype GFRP decks modules, which were then fabricated by Faroex Ltd. These were tested under a simulated truck wheel load to failure. All modules in this test phase surpassed the required AASHTO HS30 design truck loading for which they were designed. Based on the promising results from the prototype specimens, full-scale specimens were produced. These specimens incorporated several design changes intended to improve their behaviour over the prototype modules. These modules performed well, demonstrating enhanced load capacity and stiffness. An analytical model was also developed to predict the load-deflection behaviour of the decks in service load ranges. Measured behaviour appears to agree well with that predicted by the model.
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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".