Evaluation of Seismic Performance of Earth Dams Due to the Level of Its Reservoir Using Finite Element Method
Bibliographic record
Abstract
One of the challenges in engineering world is investigation on seismic behavior of earthdams during an earthquake.The complexity of this issue is lack of adequate information about the impact of the earthquake on earthdams behavior.Many scientists presented an important research in this area.Dam stability during the earthquake is one of considerable factors which can be estimated by various parameters.In this paper, as a reliable parameter, safety factor is estimated using finite element method in PLAXIS 2D software.In this paper, reservoir water level is considered as a noticeable parameter which affects on stability of earthdam and safety factor during an earthquake.For this purpose, two different water levels, %30 and %70 of earthdam height, is assumed for reservoir.Also, in order to consider effects of earthquake, a magnitude MW 6.8 earthquake is applied to model.Angle of internal friction of earthdam materials is 30 to 35 Degree and the side slopes are 1:2.7.Additionally, as isotropy has no enormous impact on results, isotropic materials are assumed for earthdam.Analysis results indicate reservoir water level increasing from %30 to %70 of earthdam height has direct impact on safety factor reduction up to %8.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".