Investigation on high-temperature performance of waste-based high-viscosity asphalt binders (WHABs) by repeated creep recovery (RCR) test
Bibliographic record
Abstract
This study reviewed and compared the test methods for the high-temperature performance of asphalt binder, and selected repeated creep recovery (RCR) test to evaluate the high-temperature performance of three waste-based high-viscosity asphalt binders (WHABs, including D-I, D-II, and F) and a control sample (Tafpack-Super modified asphalt, TMA). Meanwhile, shear stress, test temperature, and aging degree of binders, which could influence high-temperature behavior of binders, were also investigated, and related evaluation indexes including recovery compliance (R), non-recoverable creep compliance (Jnr), and viscous stiffness modulus (Gv) were compared. Results show that WHABs has much better high-temperature performance than TMA; shear stress has the most prominent effect on binders’ high-temperature performance, followed by aging degree, and lastly the selected test temperature in γ–time curve results; R, Jnr, and Gv values results indicate aging degree has a significant effect on binders, and improving binders’ aging performance can greatly improve the high-temperature performance.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".