Surges Associated with Filling of Stormwater Storage Tunnels
Bibliographic record
Abstract
Surges may form during rapid filling incidents in stonnwater storage tunnels as the tunneltmdergoes a transition between a free surface flow and a surcharged state.The current state of knowledge does not allow specification of conditions that lead to extreme surges, that would provide the basis for design of surge relief systems.A laboratory model was developed to provide insight into the geometrical and flow conditions that will develop large surges.The model was tested at a variety of slopes and for flow conditions that allow for the investigation of the influence of the hydro graph at the inflow points into the tunneL Experimental findings indicate that the largest surges occurred when a hydraulic bore just formed as it approached the surge relief structure.The maxim1m1 surges also occurred when the tunnel slopes downwards from the sm•ge chamber.It was also observed that in conditions where the exhaust of air is impeded from the system, the compression of air may induce motion due to the air pressure acting on the water surface.Current numerical models developed to describe the surge process have not included this effect in their fonnulation.
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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".