Performance of Foundation Ground of a Large Dam during First Filling
Bibliographic record
Abstract
Dams are important engineering structures constructed to control, supply, or divert water. Seepage and high pore pressures are the most important phenomena that endanger the safety and stability of a dam. Because of the importance of primary control and evaluation of hydraulic performance of foundation ground and grout curtain of embankment dams at the beginning of operation, Alavian dam, located in the north-west of Iran, was selected as a case study and its performance was evaluated using records of pore water flux and pressures during first filling. It was found that the seepage through the foundation joints was affected by the changes of the reservoir water level although the joints were sealed by grouting. This indicates that there is an optimum length for the gallery block which minimizes the number of associated joints and the structure of the gallery doesn't tolerate critical deformations. This length depends on the engineering characteristics of the foundation ground.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".