Complex Modulus and Fatigue Analysis of Asphalt Mix after Daily Rapid Freeze-Thaw Cycles
Bibliographic record
Abstract
Québec roads are subjected to seasonal ambient temperature variations and daily rapid variations of temperature. These significant temperature variations in combination with the moisture inside the pores result in the development of premature deterioration in asphalt pavement. At present, the effect of regional freeze-thaw cycles on fatigue cracking has not been considered in the Mechanistic-empirical pavement design guide method or other design methods in cold regions, whose results overestimate the pavement life. Hence, the main objective of this study was to conduct the thermomechanical tests on an asphalt mixture before and after rapid freeze-thaw cycles. Considering the differences regarding the 2S2P1D model parameters, it was found that the influence of freeze-thaw conditions on the stiffness behavior of the mix is higher when increasing the number of cycles from 150 to 300. Regarding fatigue test results, the reference mixture was more resistant to fatigue cracking than the conditioned mix after 300 freeze-thaw cycles.
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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 | 0.000 |
| 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 | 0.000 |
| 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".