The Analytical Approach for Estimating the Hydraulic Characteristics of Sluice Gates
Bibliographic record
Abstract
Sluice gates are hydraulic structures used to control the discharge in channels or to direct flow from main channels to secondary channels.These gates can also be utilized in dams to control the amount of water released from the dam.Sluice gates can be installed in different positions; some are vertical, while others are inclined depending on the specific purpose for which the gate is designed.In this paper the hydraulic characteristics of flow upstream and downstream of a vertical sluice gate are studied experimentally and numerically.This study aims to determine an analytical equation to estimate the discharge under the vertical sluice gates with different cases of gate opening.Consequently, experimental investigations were performed on models constructed by dimensional analysis for the parameters influencing the discharge coefficient under sluice gates in an open channel.Four gate openings for the vertical sluice gate were considered: 1, 2, 3, and 4 cm with ten discharges Q were passed for each gate opening, ranging from 1000 l/hr to 5200 l/hr.The results show that increasing the amount of discharge would lead to an increase in the discharge coefficient value; also, increasing the gate opening will reduce the discharge coefficient to pass the same amount of water through the sluice gate.Finally, an empirical equation was derived linking the discharge values passing under the vertical sliding gates for various openings and conditions using the non-linear regression analysis.Additionally, the statistical indices (R 2 ) and Nash-Sutcliffe efficiency (NSE) were used to test the reliability of this equation, and their results were 0.996 and 0.962, respectively.The analytical approach for estimating the flow under the vertical sluice gates showed a great fitting with experimental findings.
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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 | 0.001 | 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) | 0.000 | 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".