Experimental estimation of the sound power radiated from panels excited by a turbulent boundary layer
Bibliographic record
Abstract
This study addresses the experimental estimation of the radiated sound power from a panel excited by a homogeneous and fully developed turbulent boundary layer. Two approaches are investigated, one based on vibration measurements and the other on near-field sound pressure measurements. The first method estimates the radiated sound power from the vibration cross-spectral density matrix measured for a regular grid on the panel and the theoretical radiation resistance matrix. To reduce the number of sensors on the panel, a formulation is proposed to estimate the vibration cross-spectral density between two points not measured simultaneously, using additional reference sensors. The second method estimates the radiated sound power from measuring the near-field sound pressure. The far-field sound pressure is extrapolated from the near-field measurements using the Planar Nearfield Acoustical Holography principle. The radiated sound power is then deduced from the far-field pressure. The two methods are first studied numerically to verify their validity and to highlight their limits before being evaluated experimentally in an anechoic wind tunnel.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".