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Record W4401804089 · doi:10.4050/f-0080-2024-1255

Comparison of Experimental and CFD Results for RAIDER X® Competitive Prototype 1/9th Scale Model

2024· article· en· W4401804089 on OpenAlexaff
Kalki Sharma, Andrew Bodling

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsComputational fluid dynamicsComputer scienceThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Computational Fluid Dynamics (CFD) analyses are compared with 1/9th model-scale wind-tunnel test measurements for the RAIDER X® Competitive Prototype (CP). A multitude of comparisons with experiment are made, including measured airframe aerodynamic forces and moments, surface pressures, propulsor performance and propulsor-airframe interactions, surface flow visualization, and flow field velocimetry. The CFD tools STAR-CCM+ and CREATE-AVTM Helios were both utilized to simulate the test conditions. The CFD analyses, both using the Spalart-Allmaras turbulence model, yielded results which showed good trending with the experimental data. Overall, the CFD tools demonstrated their ability to accurately analyze the behavior of flow over a complex geometry at a variety of orientations. At the same time, a few areas of improvement were identified, such as in regimes of flow separation and complex airflow interactions (such as the hubs' wake impacting the tail). In these areas, trends are often captured, but further investigation and refinements in the CFD analyses are warranted to improve correlations with the experimental data.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.319

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 head0.043
GPT teacher head0.355
Teacher spread0.312 · 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
Published2024
Admission routes1
Has abstractyes

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