Use of Dynamic Modulus and Creep Tests in the Development of Rutting Resitant Criteria for Asphalt Mixes in Canada
Bibliographic record
Abstract
A joint research study was undertaken to develop rutting resistance criteria for Superpave and other asphalt mixes used in Canada. The study used the new Simple Performance Test (SPT) and an accelerated laboratory wheel rutting resistance test. The SPT is included in the American Association of State Highway and Transportation Officials (AASHTO) new Mechanistic-Empirical Pavement Design Guide (AASHTO 2002) as a means of asphalt mix characterization. Two surface course asphalt mixes and two binder course mixes from projects across Canada were selected for the study. These mixes span a wide range of applications from high traffic freeways to low volume municipal roads. This paper presents the findings from Stage 1 of the study that included dynamic modulus testing of all four mixes, extensive AASHTO 2002 analysis, and accelerated rutting resistance testing in the Hamburg Wheel Rut Tester. The paper emphasizes the necessity for careful calibration of the models used in the new mechanistic-empirical method of pavement design and the need for accelerated performance testing at the mix design stage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".