Longitudinal joint in decked bulb‐tee beams for accelerated bridge construction with ribbed <scp>GFRP</scp> bars: Ultimate load and fatigue evaluation
Bibliographic record
Abstract
Abstract Accelerated bridge construction (ABC) techniques have gained prominence due to their potential to minimize construction time and traffic disruptions while enhancing sustainability. This study investigates the use of ultra‐high‐performance concrete (UHPC) and glass fiber‐reinforced polymer (GFRP) bars to address critical challenges in bridge durability and longevity. A novel UHPC‐filled precast deck joint was developed for a decked bulb‐tee (DBT) girder system, utilizing GFRP bars to eliminate corrosion‐related issues typical of steel reinforcement. Two actual‐size, GFRP‐reinforced, precast concrete deck slabs were erected to perform fatigue tests using the footprint of the Canadian Highway Bridge Design Code (CHBDC) truck wheel loading to verify the design. Each slab had 200 mm thickness, 2500 mm width, and 3500 mm length in the direction of traffic and rest over braced twin steel girders. The closure strip between connected precast slabs has a width of 125 mm with a vertical shear key. GFRP bars in the precast slab projected into the closure strip with a headed end to provide a 100 mm embedment length. Two types of fatigue tests were performed (i) accelerated variable amplitude cyclic loading and (ii) constant amplitude cyclic loading, followed by loading the slab monotonically to failure. Results demonstrated the system's superior fatigue performance and high ultimate load capacity, making it a promising solution for durable, efficient bridge construction.
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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".