Vehicle Crash Testing on a GFRP-Reinforced PL-3 Concrete Bridge Barrier
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
Corrosion of steel reinforcement due to environmental effects is a major cause of deterioration problems in bridge barriers. Glass fibre reinforced polymer (GFRP) not only addresses this durability problem but also provides exceptionally high tensile strength and Young's modulus. A recent design work conducted at Ryerson University on PL-3 bridge barrier proposed the use of 16 mm and 12 mm diameter GFRP bars as vertical reinforcement in the barrier front and back faces, respectively, with 12 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 utilized the GFRP headed end bars for proper anchorage. This paper summarizes the procedure and the results of a recent vehicle crash test conducted on the developed barrier. The crash test was performed in accordance with MASH Test Level 5 (TL-5), which involves the 36000V tractor trailer impacting the barrier at a nominal speed and angle of 80 km/h and 15 degrees, respectively. Crash test results showed that the barrier contained and redirected the vehicle. The vehicle did not penetrate, underride or override the parapet. No detached elements, fragments, or other debris from the barrier were present to penetrate or show potential for penetrating the occupant compartment, or to present undue hazard to others in the area. No occupant compartment deformation occurred. The test vehicle remained upright during and after the collision event. For the covering abstract of this conference see record contro number 201111RT334E.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it