Performance Evaluation of Asphalt Mixtures with High Recycled Asphalt Pavement Content
Bibliographic record
Abstract
This study extensively evaluated the resistance to moisture damage and thermal cracking of hot-mix asphalt (HMA) mixtures with high recycled asphalt pavement (RAP) content (up to 50%) from field sections on provincial Highway 8 between Gimli and Hnausa in Manitoba, Canada. A comparison between the properties and performance of the field-produced and laboratory-produced mixtures was also conducted and was included in this study. HMA mixtures with 50% RAP resulted in acceptable resistance to moisture damage and thermal cracking. The use of multiple freeze–thaw cycles provided a better characterization of the mixtures' resistance to moisture damage. Acceptable correlations were observed between the estimated critical temperatures from the blending chart and the measured ones from the recovered asphalt binders. Overall, laboratory-produced mixtures could be used to evaluate the relative resistance of the field-produced mixtures to moisture damage and thermal cracking.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".