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Record W2320609374 · doi:10.2514/6.2011-3859

Preponderance of hairpin vortices detected from very-large-scale, direct numerical simulations of three flat-plate boundary layers

2011· article· en· W2320609374 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venue20th AIAA Computational Fluid Dynamics Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsRoyal Military College of Canada
FundersU.S. Department of EnergyCanada Research ChairsU.S. Department of Defense
KeywordsVortexScale (ratio)PhysicsBoundary (topology)Boundary value problemMechanicsMathematicsMathematical analysisQuantum mechanics

Abstract

fetched live from OpenAlex

We report high-quality flow visualization results obtained from very-large-scale direct numerical simulation (VLS DNS) of three nominally zero-pressure-gradient, smooth, incompressible, flat-plate boundary layers (ZPGFPBLs). The number of grid points is slightly over 1 billion per simulation. In all the three boundary layers, the momentumthickness Reynolds number develops continuously from 80 to approximately 2000. A unique aspect of the present VLS DNS study is its strong connection and remarkable consistency with the large body of classical ZPGFPBL experimental visualization work that began in the late 1950s, peaked in the early 1980s and still somewhat active until this day. Our VLS DNS results demonstrate, beyond reasonable doubt, a preponderance of hairpin vortices in ZPGFPBLs upto momentum-thickness Reynolds number 2000. Based on these results, it is possible to futher explore the kinematics and dynamics of largescale-motion (LSM) and very-large-scale-motion (VLSM) in ZPGFPBLs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.399
Threshold uncertainty score1.000

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 head0.014
GPT teacher head0.211
Teacher spread0.197 · 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