Comparative Study of Algebraic and Transported FSD Models for LES of Premixed Flames in Flamelet and Thin Reaction Zones Regimes
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".