A Fast Method for 3D CFD Modeling of a Long River Reach
Bibliographic record
Abstract
An innovative method for modeling the three dimensional flow in a long river reach is presented. The technique involves coupling River2D, a two dimensional depth averaged hydrodynamic model with a three dimensional CFD model. The depth averaged flow of a river is first solved using River2D. Then, using the finite element grid, 3D stereolithographic files (STL) of the river bed and the water surface elevation (WSE) are created using a modified version of River2D and imported into PHOENICS, a general purpose CFD package. The bed file is used as the lower boundary condition and the WSE file is used as the frictionless "rigid lid". Converged results can be obtained in much less time relative to a 3D free-surface simulation. Results show regions of secondary flow needed for accurately predicting areas of general scour or sediment deposition and areas which are susceptible to local scour.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".