Full-scale testing of a fibre-reinforced concrete footbridge
Bibliographic record
Abstract
The design, testing and construction of a 33·6 m pre-stressed drop-in girder made with Ductal ultra-high performance fibre-reinforced concrete is presented. This girder was part of a pedestrian bridge that required the largest known volume of this material cast in a single pour at the time of production. The girder was post-tensioned and utilised stainless steel rebar at its ends as well as non-corrosive glass fibre reinforced polymer rebar as passive reinforcement. A two-day 90°C steam cure was performed prior to testing. Embedded thermocouples, load cells and displacement transducers were used to instrument two simply supported tests. In the first test, 90% of the factored load was applied, first symmetrically over the top of the slab and secondly eccentrically over half of the top of the slab. The results show that the measured self-weight was close to predicted and displacements were smaller than predicted with full recovery upon load removal, indicating no inelastic behaviour. No cracking was observed during testing or after installation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".