Horizontally-Configured Ground-Test Method for Tethered Satellites
Bibliographic record
Abstract
Two configurations of ground tests may be envisaged to provide experimental data to enhance dynamic modelling of tethered satellite configurations: (a) a vertically suspended tether and (b) a horizontally suspended tether. This paper describes the design and implementation of the horizontal configuration used during design of the BOLAS (Bi-static Observations with Low-Altitude Satellites) rotating tethered satellite configuration. The merits of the horizontal and vertical configurations, in the context of rotating tethered satellites, are compared. Large-scale, room-temperature experimental tests emulating the in-orbit dynamic state are described, in which a SPECTRA-1000®/acrylic tether is suspended horizontally and attached to a pendulum-supported sub-satellite mass. Tension variation due to gravitational cable sag effects is reduced by supporting the tether at intermediate points. The stiffness and structural damping properties are deduced from a cable model that accounts for tether tension variation due to gravitational cable sag effects. Small-scale laboratory tests of tether samples at cryogenic temperatures are conducted to establish the temperature dependence of the tether-material properties. Tether stiffness and damping properties at orbital temperatures are estimated using the experimental data from both large- and small-scale tests. The in-orbit loss of rotation rate of the BOLAS mission due to the gravity-gradient-induced longitudinal stretching of the tether is estimated by applying the experimentally determined tether stiffness and damping properties to previously determined equations of orbital motion.
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".