Stability analysis of tailings dams using limit equilibrium and finite element methods
Bibliographic record
Abstract
This paper presents a case study of stability assessment conducted on a tailings storage facility divider dam. The stability assessment utilised limit equilibrium (LE) with Slope/W, incorporating various commonly used slip surface searching options, and the finite-element method (FEM) with Plaxis2D under static peak and post-liquefaction conditions. The results reveal a significant variation in the factor of safety (FoS) obtained from LE (FoS LE ), depending on the selected slip surface searching options. Notably, the commonly used searching options in Slope/W can yield significantly higher FoS than those obtained from Plaxis2D. This observation prompted the adoption of the fully specified (FS) searching option in Slope/W, where the critical slip surface was aligned with that determined by Plaxis2D, resulting in comparable results to Plaxis2D. The FoS LE obtained by FS searching closely approximated FoS FEM , with a difference of 3.4% under static peak and 15.4% under post-liquefaction conditions. The results indicate that certain slip surface searching options in LE may fail to identify the critical slip surface accurately, leading to an overestimation of the FoS for a given geometry. The FEM, on the other hand, can provide valuable insights by identifying potential critical slip surfaces that may not be identified in LE.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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".