Aerodynamic Response to Transverse Gusts in Pre- and Post-stall Regimes
Bibliographic record
Abstract
With the goal of modelling aerodynamic response to external flow excitation, a gust generator and a test wing were designed and constructed for a low-speed wind tunnel at the Royal Military College of Canada. The gust generator consists of two NACA0015 vanes actuated by two independent AC motors in order to generate both transverse and longitudinal gusts, though only transverse gusts are the focus of this paper. The test wing has a NACA0012 profile with an internal six-component balance mounted at the mid-span position. By employing a constant-temperature anemometer with an X-hot-wire probe, the flow survey was carried out downstream of the oscillating vanes. Through in-phase oscillation with the same amplitude, transverse gusts were generated. Phase averaging and spectral analyses were performed for flow velocities at representative locations. The optimal streamwise location range to mount the test wing, where the generated transverse flow variation had a nearly uniform amplitude, was determined. Following the flow survey, the balance results were analyzed and discussed in both pre- and post-stall regimes. In the pre-stall regime, the lift coefficient variations were compared to the linear analytical prediction based on the Küssner’s function. The effective angle of attack due to transverse gusts was obtained in analogy to camber effects. With a geometric angle of attack close to the static stall angle, the aerodynamic gust response entered the post-stall regime. The balance results suggested strong nonlinear effects and noticeable lift enhancement, which might relate to the dynamic stall effects due to the upwash and downwash caused by the transverse gusts. The similar behaviours in both lift and moment suggested some similarity between pitch-induced and gust-induced dynamic stall.
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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".