Unsteady numerical simulation of wind turbine with bio-inspired wing-tip modification
Bibliographic record
Abstract
This study evaluates the effects of a novel winglet design on the aerodynamics of the 10 MW Denmark Technical University wind turbine. The unsteady Reynolds-averaged Navier–Stokes (URANS) and the detached eddy simulation (DES) are used to numerically simulate the physics of both the baseline turbine (i.e., no winglet included) and a wingletted turbine under the rated operating condition. The results show that the addition of the winglet alters both the structure of the wing-tip vortex and the vorticity distribution in the wake, leading to lower levels of average vorticity. Moreover, the wingletted wind turbine increases the torque of the turbine by 6.3% while only increasing the drag by 2.5%. Although the URANS formulation performs well at calculating the power and force distribution at the turbine, it falls short of providing an accurate description of the flow field of the wake, failing to calculate the unsteady scales captured by the DES model.
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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 | 0.001 | 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".