Numerical Investigation of Wall Mounting Effects in Semi-Span Wind-Tunnel Tests
Bibliographic record
Abstract
In this paper, the effects of installing an aircraft half-model on a sidewall of a wind tunnel are investigated. Three-dimensional RANS computations are performed on a geometry representative of an actual modern widebody airliner. The influence of a non-metric spacer, introduced between the half-model and the sidewall, is studied. The study focuses on the effects of the spacer presence on the lift coefficient and the pressure distribution around the model. Computational results show a significant change of the flow field in the case of the half-span installation compared to the full-span case. Unlike several previous investigations showing that the lift usually increases with increasing spacer height, the present study shows that the influence of the spacer is strongly dependent on the Mach number and the angle of attack. It is also found that changing the spacer height may have positive impact on the correlation between semi-span and full-span results for the lift coefficient at specific Mach numbers and angles of attack, while also negatively affecting the correlations of the same coefficient for other flow conditions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".