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Record W2710309606

Ship Airwake Computational Modeling Method Verification

2017· article· en· W2710309606 on OpenAlexaboutno aff
Gregory Dooley

Bibliographic record

VenueIowa Research Online (The University of Iowa) · 2017
Typearticle
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Computational Fluid Dynamics (CFD) simulations offer a feasible solution to resolving the behavior of ship airwake behavior in the interest of flight operations near a moving ship as opposed to large full scale experimental methods. Wind tunnel data has been collected for several wind-over-deck (WOD) conditions using the simple frigate shape (SFS2) conducted by the National Research Council of Canada. In order to test the ability of the CFD code REX to accurately simulate these conditions and provide meaningful data a comprehensive validation study was conducted. Wind tunnel data is provided for both a headwind and Green 45° scenario. Both were recreated and simulated using REX. Comparison of averaged flow velocities and turbulence intensities in the area of the ship’s flight deck show strong agreement with the provided wind tunnel data. Differences in velocity magnitude and turbulence intensity were seen specifically in the areas of high turbulence but overall the flow behavior modeled using REX agrees with the trends seen in the wind tunnel data. The conclusion is thus drawn that REX can be used to accurately model the airwake behavior around a ship geometry under varying flow conditions.

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)0.001
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 score0.540
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.098
GPT teacher head0.354
Teacher spread0.257 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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