USSD Guidelines on Analysis of Seismic Deformations of Embankment Dams
Bibliographic record
Abstract
It is now widely recognized that earthquake damage of an embankment dam is closely related to a dam’s earthquake-induced deformations and that reliable estimates of seismic deformations are essential to evaluating the seismic stability of dams. Numerical analyses of embankment seismic deformations are now routinely applied in the design of new dams and in the evaluation of existing dams, and nonlinear effective stress analyses are gaining wide appreciation within the engineering profession as a useful tool for the seismic stability analysis of embankment dams. This paper provides an overview of the guidelines recently developed by the Earthquakes Committee of the United States Society on Dams (USSD) for the analysis of seismic deformations of embankment dams. The guidelines provide an overview of current approaches for the evaluation of seismic deformations of embankment dams and best practices for the numerical analysis of seismic deformations and the interpretation of analysis results.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.008 |
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".