Characteristics of Turbulent Flow Around Right-Trapezoidal Prisms With Varying Upper and Lower Lengths
Bibliographic record
Abstract
Abstract The turbulent characteristics of flow separation induced by trapezoidal prisms subjected to uniform flow are studied using particle image velocimetry (PIV). The streamwise aspect ratios (upper length to lower length) were AR1.0_2.5, AR2.0_2.5, and AR2.0_4.0. The Reynolds number (based on freestream velocity and body height) was Reh = 10000 and the results were analyzed in terms of the mean velocities, Reynolds stresses, and proper orthogonal decomposition. Recirculation bubbles formed in the wake region are asymmetric about the prism centerline, and the lower bubble is smaller than the upper one. Contours of the streamwise Reynolds normal stress exhibit two peaks in the wake of the prisms, and an additional peak over the upper surface of the prism. The peak magnitude of streamwise Reynolds normal stress in the upper and lower wake region are identical. A single peak in the vertical Reynolds normal stress is observed near the centerline of the prism within the wake region. Proper orthogonal decomposition was used to characterize the energetic vortical structures of the flow field around the prisms. The results show that the first two POD modes capture similar relative energy content, regardless of aspect ratio, while the wavelength of the POD decreases as the aspect ratio increases.
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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) | 0.001 | 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".