USE OF PROPER ORTHOGONAL DECOMPOSITION TO INVESTIGATE THE TURBULENT WAKE OF A SURFACE-MOUNTED FINITE SQUARE PRISM
Bibliographic record
Abstract
This study aims to investigate the characteristics of the instantaneous velocity field in select vertical planes located in the turbulent wake of a surface-mounted finite square prism. The instantaneous velocity field is obtained from a Large Eddy Simulation (LES); state-of-the-art post-processing methodologies namely the Proper Orthogonal Decomposition (POD) and the swirling strength criterion are used to analyse the flow structure. The study specifically considers the flow over a square prism of aspect ratio AR = 3 (AR = H/D where H is the height and D is the prism width) mounted on a ground plane and located within a thin laminar boundary layer. The Reynolds number based on the freestream velocity and cylinder width is Re = 500, and the angle of incidence is zero. POD is used to extract the dominant flow features, especially those related to vortex shedding, while the swirling strength criterion is used to visualise the smallscale turbulent structures. A principal conclusion of the study is that strong periodicity is observed in a transverse plane located 3.5D downstream of the prism, whereas the vertical mid-plane revealed a more complicated periodic structure. No compelling evidence of half-loop structures was obtained based on the analysis of the flow for a single periodic cycle. On the other hand, strong streamwise vortex structures were observed in the transverse plane in the upper region of the wake, somewhat reminiscent of but not the same as tip vortices.
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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".