Experimental validation of laboratory performance models using the third scale accelerated pavement testing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Laboratory models for fatigue cracking and permanent deformation growth are validated using the response and performance measured from asphalt pavements with different air void contents under the third scale Model Mobile Loading Simulator (MMLS3). The fatigue life prediction algorithm is developed based on a cumulative damage concept and the algorithm for permanent deformation prediction involves a sub-layering method, dividing a pavement layer into several artificial layers for analysis. These algorithms account for the effects of applied loading rate and temperature variation along the pavement depth. The difference in loading frequencies between the laboratory experiments and the MMLS3 test was taken care of using the time-temperature superposition principle with growing damage. The proposed methodology is found to be reasonable in predicting fatigue life and permanent deformation growth in the MMLS3 tests. It is found that the resulted alliance among the accelerated pavement test, laboratory test, and performance models could serve as a foundation for the successful estimation of pavements’ service life in the future.
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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 | 0.001 |
| 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 it