Stability of tailings dams under static and seismic loading
Bibliographic record
Abstract
The stability of tailings dams has drawn much attention over the past few decades as a significant number of tailings dam failures have been recorded worldwide. The present study focuses on the investigation of the behavior and the stability of this kind of earth structure under static and dynamic loading. To accomplish this task, elaborate two-dimensional numerical simulations are conducted, utilizing two widely used geotechnical finite element codes. Initially, numerical analyses are performed for three typical types of tailings dams to obtain the potential modes of slope instability by determining the corresponding factors of safety under static conditions. Subsequently the dynamic distress of tailings dams is thoroughly investigated in terms of inertial accelerations developed. Based on the models examined under static loading, dynamic analyses are performed to examine the effects of local site conditions on the seismic response of tailings dams, and therefore on their inertial distress. Emphasis is given to the special characteristics of the ground motion, whereas the material nonlinearity of both soil and tailings is taken into account by an efficient equivalent-linear procedure.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".