Influence of flexible fins on vortex-induced load over a circular cylinder at low Reynolds number
Bibliographic record
Abstract
Fins or fairings are typically streamlined structures employed to reduce the vortex-induced unsteady forces acting on a bluff body by preventing shear layer roll-up in the near-wake region. In this work, fins would refer to thin plate-like structures attached tangentially to the bluff body's top and bottom surfaces. Of particular interest here are flexible fins that can undergo static deformation or coupled fluid-elastic vibrations due to the non-linear interactions with the shear layer from a circular cylinder and the roll-up of shear layers at the trailing edge of the fin. We present a numerical analysis to realize the effect of fin flexibility on the performance with regard to vortex-induced forces by varying non-dimensional flexural rigidity, KB∈ [0.01, 10], of the fins. Two-dimensional simulations are carried out for a fixed non-dimensional fin mass ratio, m*=0.1, and Reynolds number, Re = 100. In this study, we consider two fins attached tangentially to the top and bottom surfaces of a fixed circular cylinder. We show that as the flexibility of the fins increases progressively, the stability of the fins is lost and the fins undergo a coupled flapping motion. As a function of KB, three distinct dynamic response regimes of the flexible fins are identified: (i) fixed-point stability for KB>1, (ii) periodic outward flapping 0.025≤KB≤0.1, and (iii) periodic flapping about the initial position with large amplitudes KB<0.025. Flexibility and inclination angle of fins are observed to be effective in minimizing the vortex-induced forces.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 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".