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Record W2138712021 · doi:10.2514/6.2010-3879

Numerical Simulation of Sound from Flow over an Airfoil with a Blunt Trailing Edge

2010· article· en· W2138712021 on OpenAlexaff
Phoi-Tack Lew, Alireza Najafi­-Yazdi, Luc Mongeau

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsMcGill University
Fundersnot available
KeywordsTrailing edgeFreestreamAirfoilComputational fluid dynamicsMach numberAcousticsLarge eddy simulationLattice Boltzmann methodsPhysicsMechanicsVortex sheddingTurbulenceReynolds number

Abstract

fetched live from OpenAlex

The objective of this study was to investigate the sound generated by flow over an airfoil with a blunt trailing edge. Numerical simulations were performed using the Lattice-Boltzmann Method (LBM) with the Very Large-Eddy Simulation (VLES) approach. The distinct advantage of LBM over other Navier-Stokes based computational fluid dynamics (CFD) methods lies in its ease of handling problems with complex geometries. A 3-D simulation over a 45 o asymmetric blunt trailing edge with a freestream Mach number of M1 D 0:09 and Rec D 1:85 10 6 was performed. Comparisons were made with detailed experimental data for validation. A computed shedding frequency of fLBM D 215 Hz was obtained. The measured frequency was fexp D 219 Hz. The discrepancy could be attributed to differences between the experimental and numerical setup. The far-field noise was predicted using both the solid and porous Ffowcs Williams-Hawkings (FWH) surface integral acoustic method. The far-field spectra showed good agreement with experiments up to the grid cut-off frequency.

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: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.341

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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

Citations6
Published2010
Admission routes1
Has abstractyes

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