Turbulent boundary layer induced noise and vibration of a multi-panel walled acoustic enclosure
Bibliographic record
Abstract
Flow-induced noise in aircraft cabins can be predicted through analytical models or numerical methods.To date, analytical methods have been used for simple structures and cabins, where usually a single panel is vibrating due to the flow excitation, and coupled with an acoustic enclosure.The present work investigates the analytical prediction of turbulent boundary layer induced noise and vibration of a multi-panel system.The objective is to investigate the coupling between individual panels and the acoustic enclosure.Each panel is coupled with the acoustic enclosure, which consists of a large rectangular room, with five rigid walls and one flexible wall.The properties of the panels and acoustic enclosure represent a typical fuselage skin panel and a cabin section, respectively.It is shown that identical panels located at different positions have dissimilar contributions to the cabin interior noise, showing that the panel position is an important variable for the accurate prediction and suppression of cabin noise.Analytical predictions were obtained for both the space-averaged interior sound pressure level and local interior sound pressure level.The spaceaveraged sound pressure level is usually accepted to provide the necessary information for the noise prediction; however, in some real life applications, the local sound pressure may also be desirable. r s u m Le bruit l'intrieur d 'es cabines d'es avions induite par coulement externe peut tre prdit par modles analytiques ou mthodes numriques. ce jour, les mthodes analytiques ont t utiliss pour structures et chambre simples, o, normalement, un seul panneau est considr vibrer en raison de l'coulement externe, et coupl avec la chambre acoustique.Cet article tudie la prvision analytique des vibrations et du bruit dans un systme avec plusieurs panneaux.L'objectif est d'examiner le couplage entre panneaux individuels et la chambre acoustique, en considrant de l'emplacement du panneau comme une variable.La cabine acoustique est une grande chambre rectangulaire et les panneaux rectangulaires sont considrs simplement appuys.Les proprits des matriaux et les dimensions des panneaux et de chambre acoustique sont reprsentatives d'un panneau de fuselage typique d'un avion et un compartiment de la cabine, respectivement.Il est conclu que panneaux similaires situs dans des positions diffrentes de la cabine ont contributions diffrentes du bruit intrieur, montrant que la position du panneau est une variable importante pour une prvision prcise de bruit et de suppression de bruit dans la cabine.Ont t obtenu des prvisions analytiques des valeurs localises du niveau de pression sonore l'intrieur, et la moyenne de ces valeurs en l'espace.Le niveau moyen de pression acoustique l'intrieur est habituellement utilis pour obtenir information de la prvision du bruit; cependant, dans certaines situations et applications relles, la valeur du niveau de pression acoustique d'un point prcis dans l'espace peut tre souhaitable.
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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 | 0.000 | 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 | 0.001 |
| 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".