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Record W1997301918 · doi:10.2514/6.2013-1138

Comparative Study of Algebraic and Transported FSD Models for LES of Premixed Flames in Flamelet and Thin Reaction Zones Regimes

2013· article· en· W1997301918 on OpenAlex
Nasim Shahbazian, C. P. T. Groth, Ömer L. Gülder

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

Venue51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition · 2013
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAlgebraic numberMechanicsMaterials scienceComputer scienceStatistical physicsEconometricsMathematicsPhysicsMathematical analysis

Abstract

fetched live from OpenAlex

A comparative study is performed of two variants of ame surface density (FSD) sub lterscale (SFS) model, a amelet-based model for large-eddy simulation (LES) of turbulent premixed combustion. Both algebraicand transport-equation variants of the FSD amelet approach were studied so as to investigate the importance of non-equilibrium transport of the ame surface by the turbulence. Six di erent cases are considered with various turbulence intensities in both lean and stoichiometric turbulent premixed Bunsen ames corresponding to conditions ranging from the upper limit of the amelet regime to well within the thin reaction zones regime. The predicted LES solutions are compared to the experimental data from a laboratory-scale axisymmetric Bunsen-type premixed turbulent ame. The results of the comparisons highlight weaknesses and strengths of the SFS modelling approaches.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.758

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.256
Teacher spread0.228 · 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