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Record W4389584811 · doi:10.17118/11143/20894

Numerical investigation of ?ow structures development of the slat cove ofthe ?ow past a three-element high-lift wing

2023· article· en· W4389584811 on OpenAlexaff
Hussein Kokash, Mayank Vadsola, Catherine Mavriplis, G. Gilou Agbaglah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsWingCoveLift (data mining)GeologyFinite element methodStructural engineeringComputer scienceEngineeringGeomorphology

Abstract

fetched live from OpenAlex

Three-dimensional simulations of the ?ow past a 30P30N three-element high lift wing are performed at low Reynolds numbers O 104 using a high-order spectral element method. The study focuses on investigating ?ow structures of the slat cove and Go¨rtler vortices that appear on the top of the main airfoil. The spanwise velocity component is measured in the slat cove and shows a sinusoidal form with a ?xed wavelength corresponding to the later observed Go¨rtler vortices. The amplitude of the spanwise velocity grows exponentially in time for approximately 6 orders of magnitude before a saturation is observed. Proper Orthogonal Decomposition (POD) modes are next used to analyze the ?ow structures development of the slat cove for different time ranges. It is shown that the ?ow in the slat cove is ?rst dominated by shear layers which evolve into spanwise perturbations. These perturbations later develop into bell-shaped structures and ultimately form Go¨rtler vortices.

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)0.001
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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