Study of the wake flow downstream of two oscillating vanes
Bibliographic record
Abstract
Towards modelling aerodynamic and aeroelastic response to gusts, a capability of generating controllable perturbed flow was developed for a low-speed wind tunnel of the Royal Military College of Canada (RMC). The experimental setup consisted of two NACA0015 vanes in the freestream. Two independent servo motors were used to actuate the oscillating vanes thus turning the incoming flow, and generating transverse and/or horizontal flow perturbation. A wake flow survey was carried out for the test section downstream of the vanes using an X-hot-wire probe. Both static and dynamic scenarios were investigated. The study of the static configuration was conducted to help the understanding of the dynamic configuration. For the static scenario, the distribution of both the averaged velocity and turbulence intensity of the airflow were obtained along the vertical and streamwise directions. The spectrum of experimental data confirmed intense von Ka´rma´n vortex shedding in the wake area. For the dynamic scenario, oscillating frequencies of vane motion and their super-harmonics were dominant in the spectral plots. The streamwise location range, where the generated vertical flow variation had a nearly uniform amplitude, was determined. It will be utilized as the future location to mount the test wing. The current flow survey and scheduled study of gust effects on the static test wing are building a foundation for our planned aeroelastic investigations.
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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 | 0.000 |
| 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".