Pavement subsurface drainage: importance of appropriate subbase materials
Bibliographic record
Abstract
Past and current research has clearly established the detrimental effects of inadequate subsurface drainage within a road environment. In response, pavement engineers have developed a number of theoretical models to establish the lateral drainage requirements of pavements. The intention of the present paper is to extend current drainage design by accounting for the presence of a pervious subbase layer. A parametric study of an extended form of the time to drain problem was performed while focusing on the effect of subbase material characteristics under saturated and unsaturated conditions. The numerical results established that the addition of a suitable subbase material can shift drainage time from days to minutes by combining the effects of gravity, seepage distance, and discharge area to enhance vertical water movement. Although increasing saturated hydraulic conductivity of the subbase material was generally shown to favour vertical drainage, it also created a capillary barrier effect that hindered downward flow. The results of this analysis emphasize the importance and relevance of subbase material selection for improving the drainage quality of dense-graded base materials, which display excellent bearing capacity and remain stable under repeated loading.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".