Case Slope Stability Planning and Structural Strengthening of Fuel Storage Tanks in Kalimantan, Indonesia
Bibliographic record
Abstract
The slope stability planning for manufacturing fuel storage tanks in Kalimantan, Indonesia, involves various crucial steps.It begins with a comprehensive understanding of soil characteristics, including its type, pressure tolerance, and considerations for the surrounding environment.Material selection, structural design, and adherence to safety standards are paramount in ensuring the construction's safety and resilience against landslides and environmental damage.A notable challenge arises from a steep excavation slope, particularly at an elevation of +8.00 in the tank area.To mitigate risks, meticulous planning for retaining walls and similar structures becomes necessary to ensure the tank's construction and operation remain undisturbed.The research primarily analyses the slope stability between zones A and B, particularly on the western side with an elevation of +35 meters.Findings reveal that the existing conditions fail to meet the minimum safety factor requirements, indicating potential instability when applied to operational loads.Zones A and B exhibit safety factors below 1.50, suggesting a heightened risk of collapse under load.The study proposes a comprehensive reinforcement plan encompassing various stages to address these concerns.These include Soldier Pile 1 Construction, Soil Nailing, Slope Excavation at +8.0 meters, L-shape wall Construction, and considerations for Operational Loads and Earthquake Conditions (Pseudostatic).Detailed analyses of maximum bending moment and maximum deflection inform the selection and design of reinforcement components.Components such as Soldier Piles, L-shape walls, and Soil Nailing are carefully evaluated for their moment capacity and short-term and long-term deflection characteristics to meet safety requirements.Overall, the safety factor, maximum bending moment, and maximum lateral deflection values fall within acceptable short and long-term limits.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".