Large Eddy Simulation of an Energetic Tidal Strait with Device-Scale Turbulence
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Bibliographic record
Abstract
Tidal channels suitable for tidal power devel- opments exhibit complex, turbulent flow, at high Reynolds numbers with dynamic features over a wide range of scales that can persist for several hours. Modelling such flow plays a key part in characterising the conditions that tidal turbines will experience in situ. However, simulations of these channels are extremely challenging, and many numerical models compromise on either fidelity or size to keep computational complexity down to a manageable scale. New numerical techniques are required to overcome these restrictions, and provide the tidal energy industry with valuable insights into the marine environment. This paper presents a non-hydrostatic, high-fidelity com- putational fluid dynamics model of the Grand Passage in the Bay of Fundy, Canada, using the coastal and tur- bine modelling software CoastED. The model employs a Discontinuous Galerkin finite element formulation of the Navier-Stokes momentum equation, coupled with a Vreman subgrid eddy viscosity model, a variant of Large Eddy Simulation adapted for anisotropic grids. This, along with the use of a novel unstructured grid scheme, allows flow features from centimetres to kilometres to be captured over several M2 tidal cycles. By comparing virtual Acoustic Doppler Current Profiler (ADCP) results data with measurements from real ADCPs in the Grand Passage, we show that the model is effective in recreating aspects of the tidal currents often missed in hydrostatic simulations. We also examine some of larger modelled tidal flow features, and contrast them with evi- dence from satellite data.
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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 it