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Record W2015797624 · doi:10.1115/fedsm2009-78137

Passive Flow Control of a Flat Plate With Trailing Edge Spanwise Sinusoidal Perturbation

2009· article· en· W2015797624 on OpenAlexaff
Lakshmana Sampat Doddipatla, Horia Hangan, Vibhav Durgesh, Jonathan Naughton

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsTrailing edgeWakeParticle image velocimetryMechanicsVortexDragPhysicsVortex sheddingPerturbation (astronomy)Kármán vortex streetLeading edgeClassical mechanicsAcousticsOpticsTurbulenceReynolds number

Abstract

fetched live from OpenAlex

The effect of Spanwise Sinusoidal Perturbation (SSP) control method on blunt trailing edge profiled body is studied using simultaneous pressure and Particle Image Velocimetry (PIV) measurements at different vertical and horizontal locations to study the changes in the streamwise and spanwise vortices. Proper Orthogonal Decomposition (POD) is then used to identify changes in the near wake structure associated with coherent energy redistribution due to control. Integral properties such as the base drag and strength of the vortex shedding decrease compared to the base case. The SSP also redistributes the relative energy among different modes, enhancing the streamwise vortices and suppressing the von Karman Benard rolls as a result.

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: none
Teacher disagreement score0.846
Threshold uncertainty score0.305

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 head0.003
GPT teacher head0.174
Teacher spread0.170 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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