Direct and Large Eddy Simulations Using the SIMPLE Algorithm
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Bibliographic record
Abstract
The standard SIMPLE algorithm is examined for simulation of turbulent channel flow. The algorithm is currently underutilized for turbulent simulations. It is explained and demonstrated why its implicit time integration scheme should be considered for practical and generic turbulent simulations. Taking advantage of the implicit time integration feature of SIMPLE algorithm, a systematic error reduction method is presented, by which highly accurate LES solutions can be obtained while computational cost is substantially reduced. In addition to the effect of time steps, the effects of two popular spatial discretization schemes for convective terms are examined for fully developed channel flow. Smagorinsky and dynamic Smagorinsky subgrid models are also implemented and tested for different spatial resolutions. It is demonstrated that these subgrid models do not necessarily improve turbulent solutions.
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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