Impact of acoustic leakage on the absorption of mono-layer and two-layers porous material
Bibliographic record
Abstract
This paper discusses the effects of small lateral air gaps on the normal incidence absorption coefficient of mono layer and two layers porous materials. Such mounting conditions are responsible for changes in the absorption, leading to dramatic errors in the determination of the acoustics parameter with inverse characterization methods. As this type of mounting conditions is hard to control experimentally, a hybrid finite element-modal method is used to investigate the problem of the porous material inserted in a rectangular wave-guide. At the interface of the material and the waveguide, coupling between the different domains is accounted for accurately using a modal decomposition. An automatic meshing approach is employed to speed up and guarantee convergence of the method. A large set of materials spanning a wide range of flow resistivities is used for the simulations. The results are presented under the form of charts which makes them an easy to use tool suitable for both inspection and design. Firstly, these charts allow one to identify materials whose normal inci- dence absorption coefficient is sensitive to lateral air leaks. Secondly, these charts are a helpful tool for designing highly absorptive solutions based on the combination of porous materials and air gaps.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".