EVALUATION OF WELL-GRADED AND FINE-GRADED ASPHALT MIXES USING THE INDIRECT TENSILE TEST AND THE RESILIENT MODULUS TEST
Bibliographic record
Abstract
In this paper, the material properties of two commonly used asphalt paving mixes are evaluated. Bituminous B (Bit B) is a well graded mix and traditionally has exhibited good wearing resistance while Bituminous C (Bit C) has a lower asphalt content and can be classified as fine graded mix. A volumetric analysis was conducted on the two mixes which revealed certain differences in gradation, asphalt content, and voids ratio. The indirect tensile test (IDT) and the resilient modulus test were employed to evaluate both the static and dynamic responses. The tests were conducted on asphalt concrete cores extracted from several in service project sites throughout Manitoba. The IDT determined the tensile strength and the stiffness at 25% of the failure load, while dynamic loading was used to determine the resilient modulus at various operating temperatures. These protocols represent the initial steps towards the implementation of mechanistic design procedures in Manitoba and will improve the characterization of asphalt paving 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".