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Record W2127845207 · doi:10.1155/amrx/2006/17027

Validation of a three-dimensional vortex particle method for fluid flows

2006· article· en· W2127845207 on OpenAlex

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

VenueApplied Mathematics Research eXpress · 2006
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsVortexReynolds numberInstabilityVortex tubeMechanicsComputational fluid dynamicsPhysicsContext (archaeology)Dissipative systemDissipative particle dynamicsStatistical physicsComputer scienceAlgorithmClassical mechanicsTurbulenceGeology

Abstract

fetched live from OpenAlex

In the context of complex vortex dynamics and interactions studies, an algorithm based on vortex particle methods is developed while a set of validation tests and a detailed comparison with a pseudospectral code are presented. The two physical problems considered are the isolated Lamb-Oseen tube (case A) and the antiparallel tubes (Crow instability, case B). The objectives of the work are to quantify the influence of the temporal and the spatial resolutions on the solution, to evaluate the numerical diffusion, and to look at the robustness and the ability of the algorithm to handle small tubular scales at a maximum Reynolds number. Finally, for the so-called Crow instability (case B), comparisons between the vortex-in-cell algorithm at 64, 128, and 256 spatial resolutions are carried out with a spectral method, for a Reynolds number of 1500. The results contribute to a better knowledge of the stability, accuracy, and dissipative behaviour of 3D vortex methods for modelling fluid flows.

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)0.001
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: none
Teacher disagreement score0.378
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.049
GPT teacher head0.345
Teacher spread0.296 · 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