LCCA and Pavement Design for the New Parallel Runway at Calgary International Airport
Bibliographic record
Abstract
The Parallel Runway Project (Runway 17L-35R) at Calgary International Airport will be the longest runway in Canada when completed in May 2014. It is a new 14,000 ft x 200 ft (4,267 m x 60 m) runway, apron, and associated taxiway system with more than 1,100,000 yd2 (920,000 m2) of concrete paving. The construction of a new parallel runway was planned since the early 1970s when the land was acquired by the Government of Canada, and both aeronautical height zoning and land use patterns have been controlled by the City of Calgary since that time to minimize residential development surrounding the new runway. The new runway will provide the airport with a FAA Group VI (ICAO Code F) CAT IIIA all-weather airport runway to satisfy the related economic needs of the Calgary region. This paper will describe the life cycle cost analysis (LCCA) that was developed to evaluate the rigid and flexible pavement design alternatives that were considered for the new runway and the resulting selection of a concrete pavement for the new runway and taxiway system. Both FAA FAARFIELD and Transport Canada (ASG-19) pavement design methodologies were considered but only the FAA sections were used in the LCCA evaluation and final pavement design.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".