The First Use of UHPC Technology for an Innovative LRT Station Canopy
Bibliographic record
Abstract
Synopsis: Twenty-four unique, thin-shelled canopies measuring 5 m x 6 m and just 2 cm thick (18 ' x 20 ' and 3/4 " thick) supported on single columns, protect commuters from the elements at Calgary’s new Shawnessy Light Rail Transit (LRT) Station. The innovative design was made possible with a new, ultra-high performance, fiber reinforced material that offers a combination of superior technical characteristics including ductility, strength and durability while providing highly moldable products with a quality surface. For this project, the material compressive strength was 150 MPa (22,000 psi) and flexural strength was 18 MPa (2,600 psi). The mechanical properties and design flexibility facilitated the architect’s and engineer’s ability to create the thin, curved, off-white shell structure. This paper presents the fundamentals of the technology, material properties, design details, manufacturing, prototyping, full-scale load testing, erection and economics. Many economies gained from this new technology are a result of engineering new solutions for old problems. By utilizing the material’s unique combination of superior properties, designs can eliminate passive reinforcing steel and experience reduced global
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".