Design and Dynamical Analysis of a SAR Membrane Antenna Deployable Structure
Bibliographic record
Abstract
Large deployable membrane antennas for Synthetic Aperture Radar (SAR) satellites have attracted much attention for their low mass, high packaging efficiency, and low fabrication cost. An extendible support structure (ESS) could be used to deploy and support a multi-layer membrane antenna in a precise configuration once it is deployed on orbit. In this paper, an ESS for a membrane antenna with several foldable frames is designed. The ESS can be synchronously deployed by a six-bar-linkage mechanism and several closed-cable loops. A kinematical model of the deployable mechanism is developed to obtain the optimal design of the mechanism for a goal of all foldable frames locked in a same plane after they are fully deployed. A dynamic model of the ESS is developed to investigate its dynamical performance. The goal of the simulation is to compare the dynamic performances of the ESS when the frames are regarded as rigid and flexible. The simulation results are obtained with symbolic dynamic analysis software DynaFlexPro.
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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 | 0.001 | 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 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".