Effects of dosage of warm mix asphalt additive on stiffness, cracking susceptibility, and moisture sensitivity characteristics
Bibliographic record
Abstract
Warm mix asphalt (WMA) technology has the capability of lowering asphalt mixing and compacting temperature by 30 °C or more without compromising the performance of asphalt pavement. This results to a lower cooling rate that allows for long haul, and sufficient compaction time. The objective of this study is to evaluate the effectiveness of the common chemical additives on the properties of WMA mixtures through field and laboratory testing programs. Three dosages (0.3, 0.5, and 0.7% by weight of asphalt cement) were used without changing the job mix formula. Among the different additive dosage used, 0.5% had a better overall performance. For example, the moisture sensitivity test for the 0.5% WMA indicated the highest tensile strength ratio; subsequently, low moisture damage. All WMA mixtures had low rutting resistance potential and higher cracking resistance compared to conventional mix.
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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) | 0.000 | 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 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".