Free-Size Optimization of a Stiffened Panel Using Equivalent Radiated Power
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2022-3936.vid Acoustic performance is not typically considered during the structural design of an aircraft fuselage, however the noise transmitted by the fuselage during flight can contribute to passenger discomfort. Structural-acoustic optimization approaches have been presented in research, but there is limited implementation in commercial design optimization software. This work investigates equivalent radiated power optimization in Altair OptiStruct as a means of indirectly minimizing radiated sound power over a broadband frequency range. Radiated sound power theory is reviewed and a methodology is presented for free-size optimization for equivalent radiated power. The proposed approach is applied to the design of chemical-milled pockets of a stiffened panel, ultimately achieving a small reduction in sound power compared to five other pocket designs. Further exploration is needed to conclude if equivalent radiated power optimization can achieve a meaningful reduction in sound power.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".