Effects of aggregate shape and size and surfactants on the resilient modulus of bituminous mixes
Bibliographic record
Abstract
The resilient modulus of bituminous mixes is a fundamental property to bear in mind in pavement design as it enables the estimation of their structural behavior in roads. In this work, a comparative study of some fundamental variables has been carried out to determine their effect on the resilient modulus obtained using the indirect tensile test on cylindrical samples. To this end, the variables studied were gradation, aggregate type and origin, whether crushed or rounded, binder penetration, surfactants use and manufacture and compaction temperature. From the results obtained it can be concluded that the variables that most affect the modulus were bitumen penetration and manufacture and compaction temperature. These results were verified through statistical analysis, to this end an analysis of variance was performed and regressions models, with high coefficients of determination, were obtained. The statistical results clearly validate the concept of using the bitumen penetration and the temperature to estimate the resilient modulus.
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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) | 0.000 | 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".