Structural Dynamic Effects of Cables on a Sparse Aperture Deployable Optical Telescope
Bibliographic record
Abstract
This paper will look at the quantitative effects of cables on a complex structure representative of stable optical metering structures. With the areal density of spacecraft decreasing while both the mass of cables and model accuracy requirements increase, it is increasingly important to understand the structural dynamic effects of cables. A ground based telescope test bed has been tested in both cabled and uncabled states. A system ID A, B, C, D model has been derived for both configurations and changes to modal parameters are examined. The effect of cables on the performance and stability of a controller designed around an uncabled structure is looked at. Changes to the structural dynamics were found to be dependent on the cable to base structure mass ratio. Small mass ratios on the order of 1⁄2% resulted in no appreciable modal changes. A mass ratio on the order of 3% resulted in a doubling of damping at specific modes, but no change in the natural frequencies. RMS responses varied, with piston decreasing from 8-19% and tip/tilt responses remaining mostly unaffected. At these small mass ratios the stability and performance of a low authority controller were unaffected.
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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) | 0.002 | 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".