Analysis of the Influence of Waste Shear Strength Parameters on Landfill Slope Stability
Bibliographic record
Abstract
In this paper, the influence of waste shear strength parameters on landfill slope stability is studied.Namely, using the limit equilibrium method in GeoStudio 2018, stability analyses of a typical landfill slope are performed using semi-probabilistic and probabilistic approaches.The semi-probabilistic computations of slope stability are performed based on the available literature recommendations for the waste shear strength parameters.The results obtained for different recommendations are compared and discussed.In the probabilistic computations, the waste shear strength parameters are treated as random variables with Gaussian random distribution, where the parameters of the distribution are again selected based on the literature recommendations.Here, the influence of dispersion in the values of waste shear strength parameters is also examined.In addition, sensitivity analyses are also performed to gain insights into the relative importance of parameters.With the aforementioned analyses, an effort was made to investigate and derive conclusions about how the selection of waste shear strength parameters affects landfill slope stability.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".