Case study of slope failure during construction of an open pit mine in Indonesia
Bibliographic record
Abstract
This paper presents back-analyses of a failed slope at an open pit lignite mine in Muara Enim, Indonesia. The slope, which was being raised by the dumping of excavated material, failed at a dump height of 24 m, well before reaching the design height of 80 m. The primary cause of failure was determined to be the presence of a previously unknown weak layer in the foundation, combined with high excess pore pressures generated by a relatively fast dumping rate. The failure resulted in significant disruption of the mining operation, in addition to environmental problems and a high cost of remediation. Finite element analyses were performed to gain a better understanding of the influence of the weak layer at the time of the failure. The case history emphasizes the need for a thorough site investigation and the risks associated with fast dumping on saturated weak clay overlain by a stiff residual soil layer with low permeability.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".