THE FLUCTUATING VELOCITY FIELD ABOVE THE FREE END OF A SURFACEMOUNTED FINITE-HEIGHT SQUARE PRISM
Bibliographic record
Abstract
This study investigates the features of the fluctuating velocity field above the free end of a surface-mounted finite-height square prism, at a Reynolds number of Re = 4.2×104, using two state-of-the-art post-processing methodologies, namely Proper Orthogonal Decomposition (POD) and the swirling strength criterion. Instantaneous velocity measurements were obtained from Particle Image Velocimetry (PIV) experiments conducted in a low-speed wind tunnel for the flow over finite square prisms of aspect ratios AR = 9, 7, 5 and 3 (AR = H/D where H is the prism height and D is the prism width). The prisms were immersed in a thin, turbulent boundary layer with a dimensionless thickness of δ/D = 1.6. The Reynolds number based on the freestream velocity U∞ was Re = 4.2×104. POD modes were used to extract the dominant flow features, which revealed a pair of shear sub-layers above the free end, flow entrainment from the freestream above, as well as several vortex structures in the mean shear flow region. At lower aspect ratios, the shear layers become more pronounced. Combined with the swirling strength results, this represents evidence of Kelvin-Helmholtz instabilities within the shear layer region. These instabilities increase moving away from the vertical symmetry plane. Some structures in the near wake above and behind the prism trailing edge are also seen due to the interactions of the reverse flow downstream with the downwash flow.
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 | 0.000 | 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".