Control of a Blunt Trailing Edge Profiled Body using Unsteady Distributed Forcing
Bibliographic record
Abstract
Blunt trailing edges are often used to improve the structural characteristics of airfoils in high load situations and/or reduce wave drag on transonic wings. However, the wake generated behind blunt trailing edges can lead to higher-pressure drag, unsteady aerodynamic loading and higher noise emission. This presentation will consider dynamically important features of the blunt trailing edge wake behind a non-lifting body as a precursor for their control. Of particular interest will be the presence of three-dimensionality in the von Karman vortex street generated in the wake – even when the geometry is nominally two-dimensional. This will be followed by the presentation of “distributed forcing”, which is a flow control approach that promotes three-dimensionality to achieve a large change in the blunt trailing edge wake with minimal energy input. Implementations of this flow control system using synthetic jets will be presented. Results from these experiments will highlight the change in the wake dynamics and reduction in pressure drag.
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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 | 0.000 |
| Scholarly communication | 0.000 | 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".