Influence of compaction temperature on rubberized asphalt mixes and binders
Bibliographic record
Abstract
This research investigates the influence of compaction temperature on rubberized asphalt mixes and binders. For this, four Superpave mix designs for four asphalt binders (control, 3% styrene–butadiene–styrene (SBS)-modified, 10% rubber-modified, and 15% rubber-modified) were carried out. A total of 160 specimens were manufactured at four compaction temperatures of 116, 135, 154, and 173 °C. The binders were artificially short-term aged for 2 h at the mixture compaction temperatures prior to the binder tests. The results from this study showed that: (i) the control and SBS-modified mixtures could have almost the same air–void contents at a wide range of compaction temperatures; (ii) the compaction temperatures significantly affected the volumetric properties of the rubberized mixes; (iii) the aging difference of asphalt binder in the mixture depending on the compaction temperature is not considered to be a main factor affecting the volumetric properties of the mixtures.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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".