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Record W4283218572 · doi:10.2514/6.2022-3347

Validation and Verification of pimpleCentralFOAM and a 1D-ERAM Solver for Analysis of an Ejector-Ramjet

2022· article· en· W4283218572 on OpenAlex
Derek Lastiwka, Artem Korobenko, Craig T. Johansen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAIAA AVIATION 2022 Forum · 2022
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRamjetComputational fluid dynamicsSolverInjectorEntrainment (biomusicology)Computer scienceAerospace engineeringMechanicsFluid dynamicsClassification of discontinuitiesPhysicsMechanical engineeringEngineeringCombustorMathematicsCombustionChemistry

Abstract

fetched live from OpenAlex

View Video Presentation: https://doi.org/10.2514/6.2022-3347.vid Verification and validation of computational fluid dynamics (CFD) and a quasi 1D ejector-ramjet (ERAM) solver are presented for the analysis of an ejector-ramjet. A custom OpenFOAM computational fluid dynamics solver, pimpleCentralFOAM, with extended capabilities is shown to be able to capture flow discontinuities and entrainment in a confined jet. A quasi 1D-ERAM solver was developed that utilizes a pressure-based coupled methodology to solve the steady-state mass and momentum conservation equations and is capable of modeling flows with two differing gases. The 1D-ERAM solver was found to agree well with experiments and CFD predictions of entrainment for a confined jet.

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.

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 score0.070
Threshold uncertainty score0.349

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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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