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Record W2731193162 · doi:10.4050/f-0073-2017-12008

Assessment of Create-AV Helios for Complex Rotating Hub Wakes

2017· article· en· W2731193162 on OpenAlexaff
Mark Potsdam, Philip Cross

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsBell Helicopter Textron (Canada)
Fundersnot available
KeywordsAeronauticsComputer scienceAerospace engineeringSystems engineeringEngineering

Abstract

fetched live from OpenAlex

Experimental data from high Reynolds number water tunnel experiments conducted at the Pennsylvania State University of a de-featured helicopter hub are compared with unsteady computational fluid dynamics (CFD) analyses using CREATE-AV Helios. CFD hub modeling employs a Spalart-Allmaras Detached Eddy Simulation (SA-DES) model. Different off-body wake treatments (baseline SA-DES, coarse off-body SA-DES, and inviscid) are computed. Total hub drag is predicted within 7%, while peak-to-peak loads, azimuthal variation and frequency content are accurately captured. Drag breakdown and frequency content by component is investigated. Mean and unsteady wake velocity characteristics from PIV and LDV measurements are compared with the calculations. The mean streamwise velocities are over-predicted. The frequency content in the CFD simulations is seen to be stronger and broader than experiment with excessive dissipation from near- to far-wake.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.047
GPT teacher head0.356
Teacher spread0.309 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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