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Record W2333801514 · doi:10.1115/smasis2009-1274

Modeling the Dynamic Behavior of an Inflatable Rigidized Boom in Exposure to Temperature Changes in Space

2009· article· en· W2333801514 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis and Optimization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInflatableBoomThermalSatelliteTemperature measurementWork (physics)Shadow (psychology)Aerospace engineeringStructural engineeringEngineeringMechanical engineeringMaterials scienceComputer scienceMechanicsPhysicsMeteorology

Abstract

fetched live from OpenAlex

During the past few years inflatable technology has received much attention by space industry due to its significantly reduced launch volume and mass. While this technology meets the mass goals, because of being ultra-light the structures become very susceptible to disturbances in space. One of the main sources of disturbances is the abrupt temperature changes for a satellite upon passing the Earth’s shadow. While much research has been carried out on the static thermal loading for such structures, very little is known about their dynamic behavior with respect to temperature changes. The presented work is intended to fill this gap. The frequency response functions for a 3 meter inflatable rigidized boom for various temperatures are studied and compared using FEA models in ABAQUS.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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