Turbulence structure of a counter-flowing wall jet
Bibliographic record
Abstract
Although several studies have been carried out to analyze the characteristics of counter-flowing wall jets (CFWJs), their internal turbulence structure is yet to be fully understood. In this paper, a CFWJ issuing into a main flow is numerically examined using a three-dimensional, unsteady, improved delayed detached-eddy simulation. The results of the simulation are validated with the experimental results and are presented with pertinent discussions. The interaction of the jet with the wall and the main flow leads to the oscillation of the stagnation point (SP), further enhancing the turbulence. The analysis of the instantaneous flow field reveals the presence of a feedback mechanism between the stagnation region and the shear layer of the counter-flowing wall, resulting in the excitation of the jet. This feedback mechanism is responsible for the oscillation of the SP. To further evaluate the internal structure of turbulence, the coherent structures within the flow are identified using a vortex identification criterion. These structures are also quantitatively evaluated using proper orthogonal decomposition. The analysis of the coherent structures revealed the presence of large-scale structures in the vicinity of the SP. The complex dynamics of these structures and their interactions is presented with pertinent discussions.
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.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".