A New Approach for Estimating the Influence of Soil Suction on the Resilient Modulus of Pavement Subgrade Soils
Bibliographic record
Abstract
A new approach is proposed in this paper for estimating the resilient modulus (MR) of pavement subgrade soils taking account of the influence of the soil suction (ψ). This approach includes two steps: step (i) estimating the soil-water characteristic curve (SWCC) using one-point method, and step (ii) predicting the MR - ψ relationships using a simple model and the estimated SWCC from step (i). Estimations of the SWCC and the MR for two different subgrade soils using (i) the proposed approach, and (ii) the widely used mechanistic-empirical pavement design guide (MEPDG) approach are compared with the experimental measurements. The comparison results suggest that the proposed new approach provides reliable estimations of both the SWCC and the MR - ψ relationships. The proposed approach in this paper is relatively simple and is promising for use in the design of pavements.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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".