Topology Optimization of a Section of a Morphing Serpentine Aircraft Inlet
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2021-0620.vid The applicability of morphing structures for airframe design is well documented, as aircraft surfaces are sensitive to flight conditions and environmental factors. This becomes a critical factor in the design of airframes with internally mounted propulsion systems. Such designs necessitate the use of a serpentine inlet, the optimal shape of which is dependent on flight conditions. This work focusses on the structural optimization of a section of a serpentine aircraft inlet capable of morphing. The trade-offs between morphing ability and structural performance are of key interest, and are explored in this study. As a structure becomes more compliant to accommodate a change of shape, it loses structural stiffness. A topology optimization algorithm was written to generate a Pareto Frontier of optimal designs for this problem. The scope of this work is limited to a small section of a specific serpentine inlet design for which aerodynamic shape optimization for different flight conditions has already been conducted.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it