Material Selection for the Design of inclined Covers with Capillary Barrier Effect
Bibliographic record
Abstract
A design procedure is proposed to select landfill cover materials. The specific case of inclined covers that limit infiltration due to the capillary barrier effect is investigated. A well known model for the calculation of the diversion capacity is employed. Material selection is mainly based on hydraulic conductivity functions (k-functions). The capillary break layer (CBL; bottom layer) of an ideal inclined capillary barrier should include a material within which capillarity forces are as weak as possible for the infiltration rate considered, whereas the moisture retaining layer (MRL; top layer) must be capable to develop the strongest capillarity forces possible, for the same infiltration rate. In addition, the MRL must be as permeable as possible, so that water is efficiently drained downslope and out of the cover. Application of the proposed procedure shows that a combination of coarse materials (such as sand over gravel) diverts water over greater lengths than barriers employing fine-grained materials as MRL.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".