Scale model study of simple energy dissipation features at low head dams
Bibliographic record
Abstract
Hydraulic structures across Canada will need to be adapted to deal with Canada’s changing climate. A changing climate may produce more frequent and more extreme flow conditions which can lead to issues with downstream scour. Many energy dissipation methods and devices have been previously studied and implemented; however, these methods are not always suitable for adapting existing infrastructure as they require expensive flow bypassing and dewatering in order to install. There is a need to develop new simple, low-cost energy dissipation methods that can be used to easily adapt existing hydraulic structures to cope with a changing climate. An existing 1:24 physical model of a low head dam was used to test two simple energy dissipation methods; an array of boulders and a set of concrete steps, along with a more elaborate concrete lined pool. The methods were exposed to three inflow discharges at two tailwater depths and their performance were quantified by measuring downstream velocities and scour. Several recommendations for implementing the methods were concluded from the model tests.
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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".