The Role of Free-Stream Turbulence on Flow Evolution in the Wake of a VAWT Blade
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Turbulence evolution in the near wake of a VAWT blade at a constant Reynolds number of 80,000 and an angle of attack of 14 degrees has been studied experimentally under two different levels of free-stream turbulence, 0.5 and 4.6%. Mean velocity, turbulence intensity, turbulence rms velocity and turbulence strain rate profiles have been examined at several streamwise locations in the wake using hot-wire anemometry. External free-stream turbulence has been shown to notably affect the aerodynamic performance of the blade as well as turbulence characteristics of the wake flow. Aerodynamic performance of the blade has been improved under higher free-stream turbulence in the stall region, shown by increase in the lift-to-drag ratio. Free-stream turbulence also decreases the mean velocity deficit and turbulence intensity consistently in the entire wake region, while its effect on the turbulence rms velocity and turbulence strain rate is not monotonic. Substantial asymmetry has been observed in wake profiles for both Tu = 0.5 and 4.6% cases at very near wake regions. The asymmetry decreased going downstream, becoming essentially symmetric past 1.5 chord lengths downstream of the blade trailing edge. At very near wake regions, significant flow characteristic changes occurred between the wake center, wake lower, and upper parts, these changes became more subtle moving downstream.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it