Linear Stochastic Estimation of the Turbulent Field Parallel to the Wall in a Three-Dimensional Wall Jet
Bibliographic record
Abstract
The turbulent flow field in a three-dimensional wall jet with Reynolds number of Re= 134,000 was investigated using 89 simultaneous measurement of the fluctuating wall pressure and synchronized Particle Image Velocimetry (PIV) measurements in the x-z plane (parallel to the wall and across the jet) at 0.5D away from the wall. The measurements were focused on the near to intermediate field of the wall from the nozzle exit to x/D = 18. Linear Stochastic Estimation (LSE) was used to estimate the instantaneous velocity in the x-z plane of the wall jet. The velocity estimates reveal the flow is dominated by chevron like structures that are responsible for lateral flapping in the wall jet. The chevron-like structures grow spatially larger with downstream development. The legs of these chevrons are associated with the large instantaneous alternating positive and negative lateral fluctuations that cause rapid lateral growth in the wall jet. These chevron structures grow rapidly after the collapse of the potential core and have a slower convection rate than those noted in the near field of the jet.
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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 | 0.000 |
| 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 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".