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Record W2797657510 · doi:10.1615/tsfp9.710

EFFECTS OF TAYLOR-GORTLER VORTICES ON NEAR-WALL COHERENT STRUCTURES

2015· article· en· W2797657510 on OpenAlexaff
Zixuan Yang, Bing-Chen Wang

Bibliographic record

VenueProceeding of Ninth International Symposium on Turbulence and Shear Flow Phenomena · 2015
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsVortexTurbulenceSuperimpositionLagrangian coherent structuresPhysicsContext (archaeology)MechanicsModulation (music)Flow (mathematics)AmplitudeOpticsGeometryClassical mechanicsMathematicsAcousticsGeology

Abstract

fetched live from OpenAlex

In this paper, direct numerical simulations (DNS) have been performed to investigate the superimposition and modulation effects of Taylor-Gortler (TG) vortices on near-wall coherent structures in the context of streamwise-rotating turbulent channel flow. The evolution and dynamic interaction of the TG vortices with near-wall streaks have been studied in both spectral and physical spaces. An interesting bimodal pattern is observed in the pre-multiplied energy spectra which effectively differentiates the characteristic length scales of near-wall streaks from those of TG vortices. In the physical space, it is discovered that the near-wall streaks are influenced by the superimposition effect of TG vortices, and vary quasi-periodically in the spanwise direction. It is also interesting to observe that with positive and negative superimposition effects of TG vortices, the intensity of streaks is enhanced and reduced, respectively, clearly revealing that TG vortices has an amplitude-modulation effect on the near-wall structures.

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 score0.095
Threshold uncertainty score0.769

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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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