Dynamic Modeling of Space Electrodynamic Tether System Using the Nodal Position Finite Element and Symplectic Integration
Bibliographic record
Abstract
In paper, we build up a simulation program using the nodal position finite element method for the dynamic analysis of the electrodynamic tether system; the model equation is derived from the principle of virtual work. The aerodynamic drag force, gravity force and electrodynamic force are considered. The following models are used, respectively. The NRLMSISE-00 (NRL mass spectrometer, incoherent scatter radar extended model) for the atmosphere density, EGM-2008 (Earth Gravity Model) for the earth gravity field, IGRF-2010 (International Geomagnetic Reference Field) for the earth geomagnetic field, and the IRI-2011 (International Reference Ionosphere model) for the plasma electron density. Two simplified cases of boundary condition are assumed to the governing equation of induced current and voltage, one is for giving the current of anode point just as an input parameter, and the voltage drop in the negative segment is out of consideration; the other one is called full power condition. The program is verified by considering conservative force in the circular orbit, its result shows that the nodal position finite element method is suitable for the long term simulation.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".