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Record W2066127744 · doi:10.5589/q06-007

Fluid Dynamic Analysis of Non-Traditional Supersonic Projectiles

2006· article· en· W2066127744 on OpenAlexfundvenueno aff
Stuart McIlwain, M. Khalid

Bibliographic record

VenueCanadian aeronautics and space journal · 2006
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
FundersScheme for Promotion of Academic and Research CollaborationDefence Research and Development Canada
KeywordsMissileFreestreamSupersonic speedMach numberAerodynamicsAerospace engineeringAngle of attackVortexProjectileCrosswindComputational fluid dynamicsEngineeringMechanicsPhysicsReynolds number

Abstract

fetched live from OpenAlex

Computational fluid dynamics was used to predict the supersonic flow fields around three different missile configurations: one with an elliptical cross section, one with two sets of control fins, and one with a square cross section. The angles of attack ranged from 5° to 24° and the freestream Mach numbers ranged from 1.75 to 2.5. The numerical results were in good agreement with wind tunnel data for each missile, and the simulations captured the evolving vortex systems surrounding the three different missile configurations. Certain roll angles and angles of attack produced vortex systems that interfered with the control surfaces of the missile, which could lead to catastrophic effects on the missile aerodynamics.

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 score0.185
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.005
GPT teacher head0.182
Teacher spread0.177 · 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
Published2006
Admission routes2
Has abstractyes

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