Ranking low temperature cracking performance of asphalt binders based on limiting phase angle temperatures and stress relaxation properties
Bibliographic record
Abstract
• Simplifies low-temp asphalt testing with less material and time than EBBR method. • DSR results align with EBBR grades, validating accuracy in assessing asphalt’s low-temp resilience. • Stretched exponential factor and relaxation time predict asphalt’s low-temp cracking performance. • DSR-based grading matches EBBR results, enabling testing under warmer, more practical conditions. The resistance of asphalt binder to low temperature cracking is critical in ensuring the durability of pavements in cold climates. Although the extended bending beam rheometer (EBBR, AASHTO T 406) test is generally effective, it requires a large quantity of material and is time consuming. This study aims to develop a simplified method for assessing low temperature performance using a dynamic shear rheometer (DSR). Thirty different binders were tested using both EBBR and DSR test protocols. The results show that several parameters derived from the DSR test, such as the limiting phase angle temperature, the stress relaxation rate ( m r ) after slow cooling, and the equivalent grade temperature from the stress relaxation test, exhibit strong correlations with the EBBR limiting low temperature performance grade (LLTPG). Furthermore, the stretched exponential factor ( β ) and the characteristic relaxation time ( τ ), obtained from the Kohlrausch-Williams-Watts (KWW) function, have proven to be useful indicators for low temperature performance. These findings suggest that DSR testing can serve as a practical alternative to the EBBR protocol, offering a practical approach to ensuring asphalt pavement resilience in cold regions.
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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".