Near-Wake Flow Dynamics Resulting from Trailing Edge Spanwise Perturbation
Bibliographic record
Abstract
The three dimensional near wake flow topology behind a flat plate subjected to periodic spanwise sinusoidal perturbation (SSP) is investigated and compared to a base line case with no SSP using particle image velocimetry (PIV) and high speed pressure transducers installed in the base at a ReD of 2.5x10 4 . The underlying large scale structure of the near wake is extracted using the Proper Orthogonal Decomposition (POD) technique. When compared to the baseline wake structure, SSP significantly modifies the near wake structure and strongly controls the three dimensional vortices. It also redistributes the relative energy among different modes, enhancing the streamwise vortices and suppressing the von Karman Bernard rolls. Nomenclature a = Time varying coefficient D = Trailing edge thickness i = i th mode L = Length of the flat plate Nm = Number of modes used to reconstruct the flow NT = Total number of snapshots ReD = Reynolds Number based on base height ReL = Reynolds Number based on length tk = PIV snapshot time or k th
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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 | 0.000 |
| 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) | 0.001 | 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".