Underflow Curvature and Resultant Force on a Vertical Sluice Gate
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sluice gates are an important component of many hydraulic engineering systems; they have been extensively used to regulate reservoir water levels and to measure discharges. This paper reported new experimental and computational results of underflow passing below a vertical sluice gate. The focus was on the flow curvature immediately downstream of the gate and the associated centripetal force on the gate lip. The experiments and computations covered gate openings of 2.54–40.64 cm, and ratios of upstream flow depth to gate opening of 4–16. The computations successfully produced the two-phase (air–water) flow field from solving the Reynolds-averaged Navier–Stokes equations. The computed flow profiles and the distribution of pressures compared well with the experimental results. We recommend the shear stress transport k-ω model for turbulence closure and the volume of fluid (VoF) method for efficiently tracking the highly curved free surface. Analyses of the experimental and computational results led to the development of useful expressions for key flow-curvature parameters, including the radius and center of the circle of curvature, and the angle of a tangent to the free surface with the channel bottom. The curvature is maximum immediately downstream of the lip and decays farther downstream. Curvature-induced forces on sluice gates at hydroelectric power generating stations were determined. In addition, this paper proposed corrections to some existing formulations of the underflow problem and updated the contraction distance and coefficient.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it