Impact of depth-ratio on shear-layer dynamics and wake interactions around wall-mounted prisms
Bibliographic record
Abstract
This numerical investigation explores the flow dynamics around wall-mounted prisms with small aspect-ratio (AR=0.25−1.5) and changing depth-ratio (streamwise length, DR=1−4) at a Reynolds number of Re=1000−2500. This study focuses on understanding the formation and evolution of Kelvin–Helmholtz Instability (KHI) and its interactions with coherent wake structures, e.g., hairpin-like vortices. Additionally, it examines the influence of depth-ratio on prism surface pressure distribution and the origin of pressure fluctuations. The results, driven from the extreme geometrical cases of AR=1, DR=1 and 4 at Re=2500, reveal distinct KHI rollers originating from the leading edge shear layer. These impact prism surface pressure distribution and contribute to downstream wake structures. Interactions between KHI rollers and coherent wake structures are more pronounced for larger depth-ratio prisms, leading to a complex wake system. These interactions are quantified using turbulence–mean-shear interaction and turbulence–turbulence interaction from analyzing the Poisson equation. Cross-spectral density analysis highlights the influence of KHI rollers on coherent structures in the wake. These findings emphasize the significance of depth-ratio in shaping prism flow dynamics.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".