Stability analysis and charts for slopes susceptible to translational failure
Bibliographic record
Abstract
The aim of this paper is to develop two- and three-dimensional stability charts for slopes susceptible to translational failure. An extensive parametric study was conducted using a slope model that is designed to simulate field conditions with respect to configurations of the sliding mass, and unit weight and shear strength of the involved materials. Slopes subjected to different conditions of pore-water pressures and seismic forces were considered in the study. The study shows the special importance and difficulties of considering the end effects in the analysis of translational slope failures and suggests a method for quantifying and incorporating them. Charts presented in this paper do not require an iterative procedure in determining factor of safety. They give the practicing geotechnical engineer a fast and reliable method to estimate the two and three-dimensional factors of safety for slopes susceptible to translational mode of failure and to back-calculate the mobilized shear strength of materials involved in slope failures following such mode. Numerical examples are given to illustrate different uses of these charts.Key words: slope stability analysis, translational failure, two-dimensional analysis, three-dimensional analysis, seismic forces.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".