Wrinkle localization in membrane structures patched with macro-fiber composite actuators: Inflatable space antenna applications
Bibliographic record
Abstract
Kapton membranes have received much attention in the fabrication of space inflatable antenna technology in the recent years. While prized for their light designs, their delicate nature makes them susceptible to various kinds of disturbances in space environments that result in structural vibrations or wrinkle formation. In this regard, macro-fiber composite actuators have been commonly used for vibration control of these membrane structures. However, wrinkle control remains one of the major challenges in their designs. Some of the research in the previous literature has attempted to quantify the wrinkle behavior of these membranes when subject to boundary forces. Yet, in all the previous study, the effects of macro-fiber composite patches, a major compartment of these structures, on their wrinkle formation have been ignored. The presented article studies the effects of these patches on localization of wrinkles and their patterns in Kapton membranes. The numerical results are validated experimentally using photogrammetry techniques. Two membrane configurations are studied: one considers rectangular membranes with clamped-sliding boundary conditions and the other pertains to square membranes with symmetric corner loadings.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".