Structural qualification of a developed GFRP-reinforced TL-5 concrete bridge barrier using vehicle crash testing
Bibliographic record
Abstract
Corrosion of steel reinforcement due to environmental effects is a major cause of deterioration problems in bridge barriers. Glass fibre reinforced polymer (GFRP) bars, not only addresses this durability problem but also provides exceptionally high tensile strength. A recent design work conducted at Ryerson University on a test level 5 (TL-5) bridge barrier considered the use of 16 and 12-mm diameter GFRP bars as vertical reinforcement in the barrier front and back faces, respectively, with 16-mm diameter GFRP bars as horizontal reinforcement in the barrier wall, all at 300 mm spacing. The connection between the deck slab and the barrier wall utilised the GFRP headed end bars for proper anchorage. This paper summarises the procedure and the results of a recent vehicle crash test conducted on the developed barrier. The crash test involved the 36 000 V tractor trailer impacting the barrier at a nominal speed and angle of 80 km/h and 15°, respectively. Crash test results satisfied crash test evaluation requirements including structural adequancy, occupant risk and vehicle trajectory after collision. Estimates of the equivalent impact force and associated energy absorbed by the barrier wall due to vehicle impact were deduced.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".