Characterization of Vortex Dynamics in a Laminar Separation Bubble
Bibliographic record
Abstract
The development of coherent structures within the laminar separation bubble that forms on a NACA 0018 airfoil at an angle of attack of 8 deg and a chord-based Reynolds number of 100,000 is investigated experimentally. A combination of high-speed flow visualizations and time-resolved surface pressure measurements is used to enable quantitative analysis of vortex dynamics. The amplification of disturbances in the separated shear layer leads to the formation of rollup vortices that are shed upstream of the mean reattachment location. The experimental results show that these structures produce distinct, periodic surface pressure fluctuations that can be used to detect, track, and characterize the rollup vortices. A vortex tracking technique is developed and validated in the present investigation. The developed methodology is used to investigate temporal and spatial variation in vortex shedding parameters and to study attendant vortex interactions, which involve merging of two or more consecutive vortices. The results provide new insight into vortex dynamics in laminar separation bubbles, and the developed technique can serve as an efficient tool for future studies and active flow control implementation.
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".