LONG TERM MONITORING OF HOT IN-PLACE RECYCLED ASPHALT RUNWAY PAVEMENTS IN BRITISH COLUMBIA
Bibliographic record
Abstract
In the summer of 1994, asphalt paved runways at Penticton and Kamloops airports in British Columbia were rehabilitated using hot in-place recycling (HIR) to an average depth of 40mm, followed by the application of a nominal 50mm thickness, plant-produced, hot-mix asphalt overlay. In addition, on a demonstration project basis, taxiway 'A' at Penticton airport was also rehabilitated with hot in-place recycling, but without the addition of a hot-mix asphalt overlay (on a stand-alone basis). This paper presents a review of the runway and taxiway rehabilitation methodology employed at each of the two airport sites and discusses the results of binder characterization testing of the recovered, recycled asphalt as part of a long term HIR pavement condition monitoring R&D project. Asphalt samples were recovered immediately following construction, and as part of three subsequent cycles of follow-up testing carried out in 1996, 1997 and 1999. The test data obtained provides an indication of the rate of hardening of the rejuvenated asphalt binder, in terms of penetration and viscosity based on the site conditions encountered, the rehabilitation procedures adopted, and the paving materials incorporated, on each of the respective projects. In addition, transverse crack development/propagation data was gathered, documented and mapped at each site during a five-year period following completion of the rehabilitation work. The crack development/propagation data is presented both numerically and graphically. This review of changes in material characteristics and crack propagation should provide useful information to those contemplating similar projects in the future. For the covering abstract see ITRD E109276.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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".