Investigation of flow pulsation phenomena in a sub-channel geometry using Detached Eddy Simulation approach
Bibliographic record
Abstract
This abstract provides a summary of work-in-progress on using the Detached Eddy Simulation (DES) based turbulence modeling approach to investigate the flow pulsation phenomena in a twin rectangular sub-channel geometry. The objectives of the present research work are: (i) numerical identification of the flow pulsation phenomena by resolving the effects of large-scale pulsating flow, (ii) understanding the dynamics of the flow pulsation phenomena and formulating a detailed description of the flow field, (iii) numerical identification of the turbulent structures present in the flow field and (iv) identifying the physical mechanism(s) responsible for the cause of the flow pulsations. The effect of channel length was studied for the base line case. It was found, that the model could correctly predict high levels of turbulence intensity in the near-gap region. Alternate patterns of high velocities being directed on either side of the gap was observed, which leads to efficient cross-flow mixing.
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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 | 0.000 | 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 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".