Experimental study of optimization on energy dissipation and erosion control effect on Xujiahe reservoir spillway danger control and reinforcement project
Bibliographic record
Abstract
This study through hydraulic integrated physical model that has the geometrical scale of 1∶50,takes verifying experiment of some related hydraulic problems on the primary design program of Xiaogan city Xujiahe reservoir spillway dan- ger control and reinforcement project. At the same time, carrys out optimization experiment on program further improving the energy dissipation and erosion control effect of spillway. The study results show: the flood discharge capacity and energy dissipation and erosion control effect could fulfill the design demand. In order to improve the flow pattern in the first and second stilling pool and in the open channel, some optimization measures could be adapted: building T-shaped pier in the first stilling pool, setting energy dissipation pier and rough pier in open channel, setting energy dissipation piers on both sides of the first stilling pool end profile sill top, reducing the height of the second stilling pool end profile sill. The construction of Xujiahe bridge raises the local water level in open channel. According to the erosion experiment result, it is need to take some proper protections on the back of the HanYu railway bridge pier and the 316 national road pier.
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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 | 0.000 | 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) | 0.001 | 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".