Site-Specific Seismic Coefficient for Slopes and Earthquake-Induced Deformations
Bibliographic record
Abstract
Earthquakes are a major concern for the stability and performance of natural slopes, man-made excavations, and other earth structures such as dams and embankments. Conventionally, pseudo-static analysis and Newmark-type procedures are used for assessing the seismic performance of slopes from where displacement estimates are obtained. Limit equilibrium methods utilize a seismic coefficient based on a code or guidelines presented in the technical literature. This paper presents the results of a series of site response analyses using the computer program FLAC2D carried out for a steep 300 m high rock slope reinforced with multiple anchors. The results of the site response simulations are used to define a site-specific seismic coefficient for use in limit equilibrium pseudo-static analyses. The paper also compares the results of this study with available data from similar ground conditions.
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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 | 0.000 | 0.000 |
| 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".