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Record W2323660695 · doi:10.2514/6.2002-1206

Bifurcation Analysis of an Airfoil Containing a Cubic Structural Nonlinearity and Subjected to Two-Dimensional Incompressible Flow

2002· article· en· W2323660695 on OpenAlexaff
Hekmat Alighanbari, Soheil Hashemi

Bibliographic record

Venue43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference · 2002
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAirfoilBifurcationFlow (mathematics)Nonlinear systemIncompressible flowCompressibilityMechanicsPhysicsMathematicsMathematical analysisMaterials science

Abstract

fetched live from OpenAlex

The objective of the present work is detail bifurcation analysis of an airfoil subjected to two-dimensional incompressible inviscid flow taking into account a cubic structural nonlinearity in the pitch direction. The integro-dierenti al aeroelastic equations of motion for the airfoil are reformulated into a system of six first-order autonomous ordinary dierential equations. The reformulated equations are then used for the bifurcation analysis of an airfoil with a cubic structural nonlinearity in the pitch direction. The equations are either integrated numerically using defect-controlled method or analyzed using collocation method via AUTO software package. Fixed-point solutions are calculated analytically, and bifurcation diagrams showing both stable and unstable limit cycle oscillation are obtained. The types of bifurcations are assessed by evaluating the Floquet multipliers. A period doubling route to chaos was detected, and mildly chaotic behavior in a narrow range of velocity was confirmed via the calculation of the Lyapunov exponents.

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)0.000
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.233
Teacher spread0.222 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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Same venue43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials ConferenceSame topicComputational Fluid Dynamics and AerodynamicsFrench-language works237,207