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Record W2081440725 · doi:10.1115/detc2014-34010

Elastodynamic Modeling and Simulation of the AIRBUS A380 Wing

2014· article· en· W2081440725 on OpenAlexaff
Fadi A. Ghaith, MD F. Haque

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFuselageWingVibrationEquations of motionAerodynamicsStructural engineeringFinite element methodNatural frequencyEuler equationsModal analysisEuler's formulaCantileverModalAcousticsEngineeringPhysicsMechanicsClassical mechanicsMathematicsMathematical analysisMaterials science

Abstract

fetched live from OpenAlex

This paper addresses the dynamic modeling and simulation of the AIRBUS A380 wing. The governing equations of motion which describe the vibrational motion of the wing were derived using the extended Hamilton’s principle. The elastic wing structure is assumed to follow a Bernoulli-Euler cantilever beam clamped on the moving fuselage and carrying two Trent-900 engines on its span which were treated as lumped masses. The obtained equations of motion of the wing model were analyzed by means of the unconstrained modal analysis and the system natural frequencies were estimated. In order to verify the obtained results, the dynamic response was simulated using the Finite Element (FE) computational software by which the vibrational response was generated under several types of excitation. The obtained results showed good match between the natural frequencies extracted from the mathematical model and the corresponding ones generated by FE simulation. Also the developed computational model in this investigation was found successful in capturing the vibrational motions of a wide spectrum of relevant aerodynamic and unbalance loading conditions.

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 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: none
Teacher disagreement score0.622
Threshold uncertainty score0.112

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 head0.189
Teacher spread0.183 · 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 teacher head, 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

Citations1
Published2014
Admission routes1
Has abstractyes

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