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Record W2350627321

Investigation of Ventilated Cavity Shapes of a High Speed Underwater Vehicle

2012· article· en· W2350627321 on OpenAlexaff
Zhang Su-bin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsCavitationSubmarineMechanicsMarine engineeringUnderwaterMissileReynolds numberSupercavitationMultiphase flowAerospace engineeringFlow (mathematics)Computational fluid dynamicsProcess (computing)GeologySimulationPhysicsEngineeringComputer scienceTurbulence
DOInot available

Abstract

fetched live from OpenAlex

The ventilated cavitating flow in a longitudinal gravity force field was studied by using numerical simulation method during vertical launch submarine missile rising.Based on the Mixture multiphase model and coupled with the natural cavitation model,the Reynolds-averaged Navier-Stokes equations were solved and the mathematical model of multiphase cavitating flow of gas,vapor and water was established.A dynamic mesh technique was utilized,combined with UDF program,the underwater motion process of a submarine vertically launched missile was simulated,and the evolution of the ventilated cavity and the effect of the partial cavity on the hydrodynamics were achieved.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.290

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 head0.018
GPT teacher head0.224
Teacher spread0.206 · 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 designBench or experimental
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

Citations3
Published2012
Admission routes1
Has abstractyes

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