Characterization of micro-perforated panel at high sound pressure levels using rigid frame porous models
Bibliographic record
Abstract
An acoustic impedance model to predict the acoustic response of micro-perforated panels at high sound pressure levels is proposed using rigid frame porous models. The micro-perforated panel is modeled following Johnson-Allard approach with an effective density which depends on the frequency. The incident sound pressure on the surface of the perforations is considered as a main variable in the model and the parameters of the equivalent fluid such as the tortuosity and the flow resistivity are expressed as functions of this incidence pressure. The proposed model shows good agreement by comparison with other existing nonlinear impedance models for sound pressure level up to 150 dB. Experimental measurements were performed on several micro-perforated panels backed by air cavities using an impedance tube equipped with a high sound speaker capable of delivering a high sound pressure level up to 155 dB. A good correlation between theoretical and experimental results is obtained. Micro-perforated panel backed by porous material is modeled and validated experimentally using an equivalent tortuosity of the micro-perforated panel which depends on the dynamic tortuosity of the porous layer.
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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 | 0.000 |
| 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 | 0.001 | 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".