A Parametric Study of High Reynolds Number Grid-Generated Turbulence
Bibliographic record
Abstract
An active grid is used to generate high-intensity homogeneous isotropic turbulence (HIT) with large integral length scales. The grid is designed such that the motion of adjacent wings may be decoupled allowing for the transient blockage of the grid to take on a more random form than attainable by previous grids. The grid produces high Reynolds number turbulence that is a reasonable approximation of HIT. Based on an exhaustive parametric study conducted with this new grid, the three primary factors that inuence the turbulence produced by the grid are the mean rotational velocity of the wings, , the mean ow velocity, U, and the wing geometry. A maximum Reynolds number of Re = 426 was obtained and the largest integral length scales measured were Lux= 7:16M (or 57 cm). Variations in Lux were found to be dominated by the low frequency energy produced by certain grid settings, typically with low values of .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".