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Record W2802686177 · doi:10.2514/1.j056704

Nonlinear Frequency-Domain Solver for Vortex Lattice Method

2018· article· en· W2802686177 on OpenAlex
Matthieu Parenteau, Éric Laurendeau

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

VenueAIAA Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsSolverVortexFrequency domainNonlinear systemLattice (music)Spectral methodFourier transformWakePhysicsMathematical analysisMathematicsMechanicsMathematical optimizationAcoustics

Abstract

fetched live from OpenAlex

This Paper presents a nonlinear frequency-domain solver for the vortex lattice method. Assuming a periodic solution, the wing circulation is represented in time by a Fourier series without the assumption of small-amplitude oscillations and with a prescribed wake. The linear system of the vortex lattice method is developed in the frequency domain, allowing the periodic solution to be formulated as a steady problem. Two different approaches are proposed to solve the nonlinear system of equations, an iterative segregated approach and a direct frequency-domain approach. The method is verified against two-dimensional Theordorsen theory as well as three-dimensional solutions from the doublet lattice method and the time-domain unsteady vortex lattice method. The spectral accuracy of the method is demonstrated as is its capabilities of capturing nonlinear effects from wake intersections. The resulting time-spectral vortex lattice method solver is computationally efficient with precision comparable to the time-domain unsteady vortex lattice method solver, thus making the approach interesting for aerospace applications.

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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.908
Threshold uncertainty score0.560

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)0.0010.000

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 head0.011
GPT teacher head0.274
Teacher spread0.263 · 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