Laboratory Testing of GFRP-RC Panels with UHPFRC Joints of the Nipigon River Cable-Stayed Bridge in Northwest Ontario, Canada
Bibliographic record
Abstract
This study investigates the behavior of ultrahigh-performance fiber-reinforced concrete (UHPFRC) joints between precast concrete panels reinforced with glass-fiber-reinforced polymer (GFRP) bars that are being used in the first cable-stayed bridge in northwest Ontario, Canada (Nipigon, Nipigon River Bridge). The test panels, which simulated the deck panels of the Nipigon River Bridge, were fabricated at the same precast facility in Ontario and delivered to the University of Sherbrooke for flexural testing until failure. The test matrix included eight panels measuring 3,000 mm long × 1,000 mm wide × 220 mm thick. The tests included three reference specimens without structural joints (one reinforced with steel bars and two reinforced with GFRP bars) and five jointed specimens (one reinforced with steel bars and four reinforced with GFRP bars). The structural joint width was a constant 220 mm for all jointed specimens. The specimens were tested in a cantilever-panel setup with the UHPFRC joint subjected to the maximum negative moment and shear load. The experimental results are presented and analyzed considering the cracking pattern, reinforcement strains, and the load–deflection response to investigate the performance of UHPFRC joints. The experimental shear strength was compared with the predicted values using the available bridge code provisions. The tested joints showed adequate strength and performance, and the failure occurred in the spliced concrete panels. The tested UHPFRC joints maintained the continuity and made the adjoining panels act monolithically.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".