A numerical and experimental study of vibroacoustic responses of a panel excited by a turbulent boundary layer
Bibliographic record
Abstract
© Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019. All rights reserved. A hybrid finite element method (FEM) - boundary element method (BEM) technique is used to predict the structural and acoustic responses of a panel in low Mach number flow. Analytical expressions are used to estimate the turbulent boundary layer (TBL) parameters over the surface of the panel. The spectrum of the wall pressure fluctuations is evaluated from the TBL parameters and by using semi-empirical models from literature. The wall pressure field underneath the TBL is synthesized by realisations of uncorrelated wall plane waves. The FEM-BEM approach is adopted to compute the structural and acoustic responses of the panel for each realisation of uncorrelated wall plane waves. The responses are then obtained from an ensemble average of the different realisations. Numerical results are compared with experimental data obtained in an anechoic wind tunnel at the Université de Sherbrooke. The proposed technique for predicting the vibroacoustic responses of a structure in turbulent flow is computationally efficient
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".