Predicting response of a honeycomb sandwich panel to diffuse acoustic field vs turbulent boundary layer excitation using coupled finite element-boundary element approach.
Bibliographic record
Abstract
Composite materials are being extensively used in primary and secondary aerospace structures due to high specific strength and stiffness as well as low weight. In this study finite element (FE) and boundary element (BE) are used to study acoustical performance of honeycomb type structures subjected to common excitation sources in flight. Coupled FE-BE is applied to predict transmission loss (TL) of honeycomb type structure, excited by diffuse acoustic field and turbulent boundary layer. Structural FE model correlation is performed using experimental modal analysis. Transmission loss of honeycomb panel was measured at the GAUS TL Lab using diffuse acoustic field. TL results are used to validate coupled FE-BE vibro-acoustic model of a curved honeycomb panel. Correlated model is used to predict response of structure to TBL source. Effect of noise control treatments in reducing radiated noise from honeycomb panel excited by TBL and diffuse field are studied.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".