Mechanistic-empirical method of pavement design extending unsaturated soil mechanics
Bibliographic record
Abstract
Pavement system that typically constitutes of different soil and material layers is located within the vadose zone that is above the groundwater table, which is in an unsaturated condition. Due to this reason, suction is a crucial stress state variable for interpreting the behavior of pavements in the vadose zone. The Mechanistic-Empirical Pavement Design Guide (MEPDG) serves as a comprehensive design tool that accounts for both the resilient response and environmental influences on pavement material properties. In this study, a series of California Bearing Ratio ( CBR ) tests were conducted on both saturated and unsaturated compacted soils that are commonly used as pavement subgrade materials in Toronto, Ontario. A modified CBR apparatus was utilized, incorporating orifices drilled into the CBR mold to monitor matric suction, ψ and water content using MPS-6 (or TEROS-21) and EC-5 sensors, respectively. The measured CBR and ψ values along with resilient moduli were then used to develop correlations to estimate resilient modulus, M R of compacted soils required for Level 2 design in the MEPDG. The modified CBR testing procedures used in this study are anticipated to be applicable to other soils for estimating M R , aiding in the design of pavement subgrade materials.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".