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Record W2328837238 · doi:10.2514/6.2006-6618

Simulation of Airship Dynamics

2006· article· en· W2328837238 on OpenAlexaff
Yuwen Li, Meyer Nahon

Bibliographic record

VenueAIAA Modeling and Simulation Technologies Conference and Exhibit · 2006
Typearticle
Languageen
FieldEngineering
TopicAerospace Engineering and Energy Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsAerospace engineeringComputer scienceDynamics (music)AeronauticsEngineeringPhysicsAcoustics

Abstract

fetched live from OpenAlex

(Abstract) This paper proposes a systematic approach to establish the 6-DOF nonlinear dynamic model for airships. The flight mechanics, aerostatics and complete aerodynamic effects are incorporated into the model. A simulation program is developed from the dynamic model and applied to analyze the control responses of the Skyship-500 airship. A comparison between the simulation and flight test results for different control inputs shows that the dynamic simulation can give a reasonable estimation of the flight behavior. Nomenclature b = fin semi span f c c, = airfoil chord and flap chord 0 0 , dF dH C C = zero-angle axial drag coefficients of the hull and the fins, respectively M L D C C C , , = drag, lift and pitching moment coefficients α α l L C C , = 3-D and 2-D lift curve slopes of the fins α p C ∆ = ( ) α ∂ ∆ ∂ p C , where p C ∆ is the pressure coefficient of the airfoil AS G F F , = force vectors due to gravity and aerostatics, respectively ( ) zF yF NF F F F ,

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.016
GPT teacher head0.212
Teacher spread0.195 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2006
Admission routes1
Has abstractyes

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