Experimental reproduction of random pressure fields for vibroacoustic testing of plane panels
Bibliographic record
Abstract
The feasability of the experimental reproduction of random pressure fields on a plane panel and corresponding induced vibrations is studied. The random pressure fields to be reproduced, a Diffuse Acoustic Field (DAF) and a Turbulent Boundary Layer (TBL), are described using their Cross-Spectral Densities (CSD). We propose an open-loop reproduction strategy that uses the synthetic array concept, for which a small array element is moved to create a large array by post-processing. Three possible approaches are suggested to define the complex amplitudes to be imposed at the post-processing step to all the virtual reproduction sources distributed on a virtual plane, the synthetic array, facing the panel to be tested. With a setup using a single acoustic monopole, a scanning laser vibrometer and a baffled simply supported aluminum panel, we obtain experimental vibroacoustic indicators such as the Transmission Loss (TL) for DAF, subsonic and supersonic TBL excitations. The assets or weaknesses inherent to each method are discussed, in terms of their aptitudes for reproducing the target pressure field for a given array geometry. The experimental TL results are compared to simulation results obtained using a commercial software. Most of the comparisons show that the three approaches are suitable for DAF and TBL wall pressure fluctuations reproduction, and thus should open perspectives for the experimental vibroacoustic testing of fuselage panels.
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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 | 0.000 |
| 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".