Dynamic Characterization for Multi-Layer Membrane Space Altimeter
Bibliographic record
Abstract
This paper presents an investigation into the dynamic properties of a deployable membrane structure for space altimeter applications. In particular, equations of motion are formulated which account for the viscous forces as well as the tensile ones which are normally addressed in a deployed membrane. Two commercially- available finite element codes, NASTRAN and ANSYS, are examined for their suitability in implementing the governing equations for three-dimensional membrane structures. In particular, the challenges of nonlinear governing equations and their implementation for a three-dimensional membrane structures are explored. The finite element formulation is used to evaluate the influence of membrane boundary shape and boundary tensile forces on the normal modes of the structure when atmospheric pressure is eliminated. The membrane under examination here is a prototype for the development of a possible on-orbit flight experiment in thin structure deployment, where such an experiment addresses necessary questions related to the use of this technology for membrane altimetry and synthetic aperture radar. The prototype includes multiple layers for signal radiation, grounding, and thermal protection, which must be kept parallel in the deployed configuration.
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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 | 0.001 |
| 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) | 0.001 | 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".