Effects of geometries on three-dimensional slope stability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper analyzes the effects of complex geometries on three-dimensional (3D) slope stability using an elastoplastic finite difference method (FDM) with a strength reduction technique. A series of special 3D slopes with various geometric configurations, including curving slope surface, turning corners, turning arcs, and turning forms, is presented in terms of factor of safety, shear slip surface, and deformed mesh. More than 180 cases with various geometries for different slope gradient (90°, 45°, and 26.57°) under different boundary conditions (smooth–smooth, rough–smooth, and rough–rough) are calculated and discussed in detail. Many interesting results are obtained and some of them appear to be surprising. These results can be used directly to offer suggestions for landslide hazard preparedness or safe and economical design of infrastructures, e.g., excavations, embankments, and so on.
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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 | 0.000 | 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) | 0.001 | 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 it