Energy Method for Evaluating Earthquake Induced Permanent Displacement of Soil Slopes
Bibliographic record
Abstract
Since the permanent displacement induced by earthquake can be regarded as an effective criterion for stability estimation and anti-seismic design of slopes,a new method for evaluating the displacement and improve its estimating accuracy was proposed.The forward and reverse critical acceleration of potential landslide were derived based on the limit analysis upper bound theorem,and the influence of sliding surface angle and vertical acceleration on critical acceleration was then discussed.According to the principle of energy conservation,the energy response equations of landslide system were established,the process of energy transferring,transforming and dissipating during earthquake were analyzed.A permanent displacement calculation formula of the slope with energy method was presented.In addition,the contribution of gravitational potential energy to permanent displacement was analyzed.Result showed that the reverse displacement can not be neglected when the slope has a small angle of sliding surface and weak stability,while the earthquake is strong.The critical acceleration will become an acceleration time history varying with time when take the vertical acceleration into account.Farther precision in displacement calculation can be reached via considering the effect of reverse critical acceleration and vertical acceleration wholly.Earthquake plays an important role on triggering landslides,and the permanent displacement is mainly determined by gravitational potential energy.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".