Analisis Alternatif Kelongsoran Bendungan Ameroro Pada Batuan Sekis Dengan Metode Elemen Hingga
Bibliographic record
Abstract
The geological characteristics of Ameroro Dam, dominated by schist metamorphic rocks, make this highly vulnerable to weathering, leading to reduced material strength and slope stability. This is exacerbated by rain infiltration which increases pore water pressure and earthquake loads which can trigger soil mass movement, causing a decrease in the slope safety factor.This study aims to evaluate the effect of a combination of environmental factors on slope stability using the finite element method. The research utilizes Plaxis 2D software to simulate various slope conditions under different scenarios, including static conditions, rain infiltration, and seismic loads. The results indicate that Under static conditions, the SF was 2.204, which decreased to 1.867 after rain infiltration, highlighting the adverse impact of water infiltration. To address these challenges, different reinforcement strategies were evaluated. The most effective solution was found to be the combination of 20 cm thick shotcrete, retaining wall, and 5-meter anchor, which increased the SF to 1.81, even under rain infiltration conditions. This combination enhances slope stability by providing surface protection, lateral support, and deep anchorage, effectively distributing loads and minimizing deformation risks. The findings can be the basis for developing optimized slope reinforcement strategies for dams with complex geological conditions.The geological characteristics of Ameroro Dam, dominated by schist metamorphic rocks, make this highly vulnerable to weathering, leading to reduced material strength and slope stability. This is exacerbated by rain infiltration which increases pore water pressure and earthquake loads which can trigger soil mass movement, causing a decrease in the slope safety factor.This study aims to evaluate the effect of a combination of environmental factors on slope stability using the finite element method. The research utilizes Plaxis 2D software to simulate various slope conditions under different scenarios, including static conditions, rain infiltration, and seismic loads. The results indicate that Under static conditions, the SF was 2.204, which decreased to 1.867 after rain infiltration, highlighting the adverse impact of water infiltration. To address these challenges, different reinforcement strategies were evaluated. The most effective solution was found to be the combination of 20 cm thick shotcrete, retaining wall, and 5-meter anchor, which increased the SF to 1.81, even under rain infiltration conditions. This combination enhances slope stability by providing surface protection, lateral support, and deep anchorage, effectively distributing loads and minimizing deformation risks. The findings can be the basis for developing optimized slope reinforcement strategies for dams with complex geological 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".