Experimental Investigation of the Influence of Inflow Conditions on the Flow Over an Extended Edge Escarpment
Bibliographic record
Abstract
Mean and turbulent flow behavior over a 1:50 scale model of a wind turbine site containing a local escarpment was investigated from wind directions of 230°, 270° and 300°. Flow from each direction contained vastly different local geometry at the same elevation. Results showed separation regions are formed immediately downstream of the escarpment at each wind direction. It is observed that turbulence within the first 3 meters from the escarpment edge is strongest for inflow from 230° while flow from 300° shows similar trends with lower turbulence magnitude. Inflow from 270° had the most impactful effect on the flow behavior showing the largest wake region increasing in height with the distance from the leading edge. The results also show that the flow field below 55 m was effected by the local geometry of the escarpment leading up to and likely beyond the turbine location. It is concluded that the effects induced from local geometry may cause changes to dynamic loading and fatigue on both the turbine blades and tower.
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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".