Water Tunnel Rotor Testing With Post Processing Based on PIV Measurements
Bibliographic record
Abstract
Experimental investigation is required to obtain the non-dimensional coefficients that characterize the performance of new wind turbines and marine energy extracting devices, such as tidal turbines. However, data acquired from scaled models tested in tunnel facilities suffers from wall blockage and therefore, corrections must be applied to properly predict the performance of the full-sized rotor. Analytical expressions based on the axial momentum theory and correlating thrust coefficient to an equivalent free stream velocity have traditionally been used to correct power coefficients obtained experimentally. For small models, accurate force measurement is very difficult requiring a new post processing methodology when thrust data is not available. A methodology is presented in this paper that uses the velocity field data at the rotor plane, obtained from PIV measurements and CFD simulations, to account for blockage without the requirement for thrust data. A correction curve correlating axial induction factor and power coefficient is obtained and will be utilized for correction in future experiment testing.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".