2D and 3D Probabilistic Slope Stability Analysis of a Levee with Relief Wells
Bibliographic record
Abstract
Relief wells are commonly used to reduce the pore water pressure on the river-side of levees which will eventually reduce the risk of levees and embankments failure. Two-dimensional slope stability analyses, which are commonly used, tend to smear the three-dimensional relief well water influence. Two-dimensional (2D) analyses assume that relief wells have infinite length normal to the 2D plane of the model. Three-dimensional (3D) analysis more accurately captures the seepage flow around the relief wells and considers the spacing effects of these wells on the overall groundwater analysis. This study considers a full 2D and 3D steady state finite element seepage analyses of a typical levee with different relief well setups. The pore water pressure distributions of these cases were used for 2D and 3D limit equilibrium analyses to find the slope factor of safety and probability of failure. A full comparison of the effect of relief wells is presented for the 2D and 3D models for cases with and without relief wells.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".