Prediction of Flow-Induced Noise in Aircraft Cylindrical Cabins
Bibliographic record
Abstract
Turbulent boundary layer (TBL) is a major source of aircraft cabin interior noise. In fact, je t powered aircraft cabin interior noise is mostly generated by the external flow excitation and engine noise. However, while during takeoff the engine is the dominant source of noise, in cruise flight the airflow sources are the major contribution for the interior noise [1]. As referred in [2], TBL excitation is regarded as the most important noise source for je t powered aircraft at cruise speed, particularly, as new quieter jet engines are being developed. For these reasons, reducing the turbulent flow induced noise in aircraft cabin is an important topic of research. Still, since the TBL is stochastic phenomenon and due to the complexity of the aircraft structure itself, this is an ongoing topic of investigation. In order to successfully design effective noise control systems, a clear understanding of the mechanisms involved in the aircraft cylindrical cabin TBL-induced noise, such as the sound transmission and radiation of the coupled structuralacoustic system, is crucial.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".