Shear Properties as Viable Measures for Characterization of Permanent Deformation of Asphalt Concrete Mixtures
Bibliographic record
Abstract
Released in 1994, the Superpave ® asphalt mix design system represented the culmination of a $50 million investment by the Strategic Highway Research Program to reduce the overall life-cycle costs of asphalt pavements. At this time, an extensive investigation to recommend a laboratorybased simple performance test for evaluating the resistance of Superpave mixes to permanent deformation is under way through the NCHRP. As a complementary effort, researchers at Carleton University are developing a field simple performance test for asphalt mixes known as the in situ shear stiffness test (InSiSST). InSiSST is unique to the asphalt industry; it measures the shear properties of compacted asphalt layers in the field without the need for coring or specimen preparation. Initial test results at the Superpave specific pavement studies test site (SPS-9) in Petawawa, Ontario, have shown excellent correlation between the in situ shear stiffness and observed permanent deformation. With additional testing and correlation, it is hoped that the InSiSST facility will complement the laboratory Superpave simple performance test to provide the asphalt industry with improved tools for mitigating permanent deformation. Information about the development effort is presented for context purposes, but the main objective is to further establish the benefit of fundamental asphalt shear properties for characterizing resistance to permanent deformation by presenting new and powerful performance models relating asphalt mix properties and shear properties to permanent deformation.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".