Behavior of asphalt mastics containing different materials as filler
Bibliographic record
Abstract
The behavior of the asphalt mixture is mainly attributed to the performance of the asphalt mastic. Several studies have been performed to evaluate the behavior of mastics made with different fillers. Most researchers have added the filler by mass within the bitumen; however, this comparison may be more appropriate by volume. An experimental program was designed to evaluate the behavior of mastics produced with five different fillers (natural limestone, LS; hydrated lime, HL; Portland cement, PC; Linz-Donawitz steel slag, LDSS; and blast furnace slag, BFS), and were dosed by mass and volume. Penetration, softening point, viscosity, multiple stress creep and recovery test, and linear amplitude sweep test were performed. Results showed that analyzed asphalt mastic properties depend on dosage type performed and test type. Furthermore, HL, PC, BFS and LDSS mastics showed better performance compared to control LS mastic.
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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) | 0.001 | 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".