NUMERICAL SIMULATION OF TWO-DIMENSIONAL COMPRESSIBLE TURBULENT FLOWS IN EJECTORS
Bibliographic record
Abstract
This paper presents a finite element method for simulation of two-dimensional internal compressible turbulent flows. The main objective of this work is to present a more adequate formulation for internal flows and to compare the performance of algebraic and one equation turbulence models for the simulation of turbulent flows in ejectors. The Reynolds-averaged Navier-Stokes equations are solved in terms of the so-called enthalpic variables: the static pressure p, the momentum per unit volume U and the total specific enthalpy h. The numerical method is a variant of the SUPG method augmented with a discontinuity capturing operator and uses a mixed finite element approximation for space discretization and a second order differentiating scheme for time discretization. For turbulence modelling, two models are considered and compared. The first one we propose is an algebraic model. The second one is the Spalart-Allmaras one equation model. Numerical simulations of flows in two-dimensional supersonic and thrust augmenting ejectors have been conducted and the obtained results show a good agreement with numerical and experimental data.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".