Draining of a water tank under inadequate ventilation conditions
Bibliographic record
Abstract
Draining processes through a bottom orifice of a water tank under different ventilation conditions were studied experimentally. The water pressure fluctuations at the tank bottom and the air pressure in the headspace were measured simultaneously, based on which the air–water flow features were analyzed. From the experiments, three drainage modes were identified, including a periodic draining mode with periodic bubble generation at the orifice, a full-flow draining mode without bubble formation in the tank, and a combined draining mode with bubbles generated when the water level fell to a certain water depth. The drainage efficiencies varied among the three modes, resulting from the different conditions of bubble generation at the bottom orifice and the negative pressure in the headspace due to limited ventilation. The mechanism for bubble generation at the orifice was analyzed theoretically, and the effect of the negative pressure on drainage efficiency was discussed. The transition criteria among the modes were developed by a mathematical model. This study provides new knowledge on the drainage from a water tank under different degrees of ventilation.
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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".