Critical Evaluation of Use of the Procedure of Superpave Volumetric Mixture Design for Modified Binders
Bibliographic record
Abstract
This study examined the possible interference of modified binders with the standard procedure of Superpave® volumetric mixture design. Sensitivity of volumetric properties and moisture damage performance were evaluated with four binders modified with and without polymeric additives. The study focused on effects of compaction temperatures and vertical pressure on densification of mixtures and on effects of compaction temperatures on moisture damage. The zero shear viscosity concept was used to estimate acceptable mixing and compaction temperatures. The compaction energy index was used to study changes in compaction effort, and cohesion and adhesion of binders were measured to study moisture damage potential. Results indicated that temperature effects were somewhat marginal and that unless temperatures were reduced to below 80°C, effects on volumetric properties were rather small. It was also found that using a target zero shear viscosity of 1.5 Pa·s for mixing and 3.0 Pa·s for compaction could provide reasonable compaction temperatures for binders used in this study. Varying vertical stress used in the gyratory compactor showed significant effects on volumetric properties. Changing pressure from 600 kPa to 300 kPa resulted in 3.0% to 4.0% increase in air voids, more significant than changing viscosity by more than 10 times. It is postulated that the focus on keeping temperature high during compaction in the lab and in the field might be unfounded. Moisture damage does not appear to be affected significantly by the variation in binder viscosity profiles for the binders and aggregates used in this study. Because of the limited sample size, more work is needed in this area to study the effect of mixing and compaction temperatures on moisture damage.
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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 | 0.014 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".