Investigating Thermal Cracking Potential of Ontario RAP-HMA Mixtures
Bibliographic record
Abstract
Thermal cracking on flexible pavements poses serious concerns in cold-regions of the world, especially in Canada. Influenced by temperature changes, thermal cracks are known to initiate other forms of pavement deterioration. The prevention of thermal cracks would guarantee better performance of roads built with asphalt concrete mixtures. Recognizing asphalt recycling as a key sustainable practice in the pavement industry, this paper examines the low-temperature cracking resistance of four dense-graded laboratory-prepared Ontario Superpave asphalt concrete mixtures. The asphalt mixtures were produced with 0%, 20% and 40% Reclaimed Asphalt Pavements (RAP) contents and three different binder grades. The low-temperature cracking resistance has been determined using the Thermal Stress Restrained Specimen Test (TSRST) method. The effects of different binder grades and RAP contents on the fracture stress and fracture temperature of the asphalt mixtures have been mainly investigated. Moreover, the influences of air voids content, binder aging, aggregate interaction, and laboratory compaction method have been observed. Test results revealed that binder grade and RAP content did not significantly affect the fracture resistance of asphalt mixture. These results are encouraging and demonstrate the value of TSRST as an important test for material characterization. (A) For the covering abstract of this conference see ITRD record number 201310RT334E.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".