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Record W2996886134 · doi:10.2514/6.2020-0715

Dynamic Analysis of Deployment of Electric Solar Wind Sail

2020· article· en· W2996886134 on OpenAlex
Zheng Zhu, Gangqiang Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAIAA Scitech 2020 Forum · 2020
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsYork University
Fundersnot available
KeywordsSoftware deploymentFinite element methodSolar sailSatelliteAerospace engineeringCoupling (piping)Work (physics)Computer sciencePhysicsEngineeringStructural engineeringMechanical engineeringPropulsion

Abstract

fetched live from OpenAlex

This paper studies the deployment dynamics of an Electric Solar Wind Sail (E-sail) system. In current work, only the radial deployment mechanism is considered, and each tether has its own spool. To describe the deployment of tether, the variable-length cable element is developed based on the nodal position finite element method in the Arbitrary Lagrangian-Eulerian framework. To achieve the length variation of tether, a constraint equation applied to the moving nodes. In current work, the main satellite is finite size rigid body, the dynamic coupling between main satellite and tethers are investigated. The flexural deformation of tether under different spin rates of mother satellite is investigated, meanwhile the stability problem after the tethers are fully deployed is analyzed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.191
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it