Seepage Problem Through the Foundation of a Spillway with Selected Treatment Methods
Bibliographic record
Abstract
One of the main concerns for engineers, during operation of dams, is uncontrolled seepage though the foundations of dams and hydraulic structures which is mainly resulted from poor geological conditions and lead to undermine erosion or piping that may endanger the safety of dam.In this study, numerical models were utilized to evaluate the excessive seepage problem underneath the spillway of Horan 2 Dam in Iraq as the seepage have led to dissipate storge and malfunction the dam.Two treatment methods were proposed to reduce the quantity of seepage by using a cutoff wall and a clay blanket.The results of the models indicated that the foundation of the spillway was unsafe against piping, as the calculated factor of safety was less than the allowable value.A clay blanket of 6 m long is recommended to sufficiently reduce the quantity of seepage and maintain the factor of safety within the allowable limits.As the cut off wall and clay blanket were used, the quantity of seepage decreased up to 73% and 96%, respectively, and the safety factor increased up to 100% and 110%, respectively.As discussed herein, using a clay blanket is the most cost-effective method comparing to using a cutoff wall.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".