Cold 2014 Winter and Early Asphalt Pavement Cracking Observed in Ontario
Bibliographic record
Abstract
Properly designed and constructed new asphalt pavements should provide good service for about 20 years they need major rehabilitation. The life of pavement that went through major rehabilitation should be about 15 years. In Zone 3 in Southeastern Ontario the standard asphalt cement grade is PG 58-28. It is typically bumped to PG 64-28 for heavier or slow moving traffic. The asphalt mixes incorporating these asphalt cement grades should be able to withstand the winter temperature down to - 28°C. The 2014 winter was considered to be very cold in Ontario with the temperature often dropping to -25°C or even lower. There was premature pavement cracking observed recently on number of roads in Southwestern Ontario. Some agencies believe that this was mainly due to the very cold winter. Properly designed and constructed pavements exhibited cracking after 2 to 3 years, and sometimes even 6 months. It has also been observed that this cracking occurred mainly in pavements where PG 64-28 asphalt cement was used. This focused the attention of the road agencies on the quality of asphalt cement used in Ontario. Extensive field and laboratory investigation was carried out. This paper describes three municipal roads that incorporated PG 64-28 asphalt cement and exhibited very early cracking. It presents some of the test results. It comments on methods of asphalt cement modification and present and example of updated specification requirements.
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".