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Record W2321726242 · doi:10.2514/6.2010-2884

Effects of Sloshing on Flutter Prediction of Partially Liquid-Filled Circular Cylindrical Shells

2010· article· en· W2321726242 on OpenAlexaff
Farhad Sabri, A. A. Lakis

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsSlosh dynamicsFlutterMaterials scienceMechanicsPhysicsStructural engineeringAcousticsEngineeringAerodynamics

Abstract

fetched live from OpenAlex

Dynamic stability of liquid-filled circular cylindrical shell subjected to supersonic flow and influenced by a moving inside fluid-free surface is investigated simultaneously. Structural modeling is based on the combination of Sanders thin shell theory and the standard finite element method. The shape functions are found from exact solution of shell theory which yields fast and precise convergence. First-order piston theory was applied to derive aerodynamic damping and stiffness matrices coupled with the shell elastic deformation. The fluid inside the shell is modeled as a potential variable at each node of the structure elements and its motion is expressed in terms of nodal degrees of freedom at the interface of the fluid and shell. Effect of axial loading is also investigated by developing a geometrical stiffness matrix. Results showed that ignoring the fluid sloshing effect leads to over-prediction of critical flutter velocities and the most significant deviations are found for short and wide shells with high values of liquid filling ratios. This hybrid numerical-analytical software package can be used effectively for aeroelastic analysis and design of shells of revolution at less computational cost compared to commercial finite element packages.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.321

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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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 designBench or experimental
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

Citations2
Published2010
Admission routes1
Has abstractyes

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