Effects of side slope on low-volume road pavement performance: a full-scale assessment
Bibliographic record
Abstract
The study concerns the full-scale testing of some low-volume road pavements using the heavy vehicle simulator (HVS) Nordic. The road structures were built with different angle side slopes and then trafficked to determine their performance. Performance was assessed in terms of rutting development and in terms of a geotechnical wedge stability method. A geometric factor has been introduced to describe the effect of side slope on the rate of rutting development. The geometric factor describes an average, structurally independent increase in the rate of rutting, which depends on the steepness of slope and on the distance to the edge of the construction but not on the load. To achieve the analysis, a finite element model of the road structures was established using appropriate resilient moduli values. These values were obtained after a comparison of values obtained from in situ measurements, back-calculated from in situ loading tests and laboratory tests, which differed appreciably.
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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 | 0.000 | 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 | 0.001 |
| 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".