Multiscale Characterization of Cracking Resistance in Asphalt: Link between Binder and Mixture Tests
Bibliographic record
Abstract
Establishing a link between low temperature cracking resistance results for binder and mixture tests has proven challenging. This study aims to investigate the underlying factors that impact this correlation. A diverse set of loose asphalt mixture samples was collected from user agencies around North America, allowing for the extraction and recovery of asphalt binder as well as the preparation of semi-circular bend (SCB) specimens. Subsequently, extended bending beam rheometer (EBBR) and double edge notched tension (DENT) tests were conducted on the recovered binder. SCB tests were performed on asphalt mixture specimens before and after low-temperature conditioning. The analysis of correlations between binder and mixture test results revealed that considering thermo-reversible aging significantly improves the correlation between the two sets of data. Additionally, the presence of oil exudation was identified as another confounding factor for the correlation exercise.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".