Flow-induced vibration of flexible tapering hydrofoils with and without sheet cavitation
Bibliographic record
Abstract
In this paper, we study the fluid–structure interaction (FSI) of a flexible cantilevered tapering hydrofoil in cavitating turbulent flows. We consider a recently developed variational cavitation FSI solver employing a large-eddy simulation model, a homogeneous mixture cavitation model, and the structural mode superposition method. Of particular interest is understanding the coupled dynamics of vortex shedding and cavitation around the hydrofoil and the mechanism responsible for the self-sustained structural vibration due to the vortex-cavitation interaction. In both the cavitating and non-cavitating cases, the structural vibrations generally exhibit the amplifying trend as the structure becomes less stiff, in both the in-line and transverse directions. When sheet cavitation appears on the suction side of the hydrofoil, the magnitude of structural fluctuation is amplified nearly seven times while the average deformation remains weaker. To understand this amplification process, we systematically examine the synchronized hydroelastic coupling through pressure pulsation within the flow field, cavitation generation, and structural vibration. We find that the generation of sheet cavitation induces considerable hydrofoil vibration subjected to a flutter-like response with sustained oscillations, accompanied by the frequency lock-in behavior owing to the synchronization among the structural modes and the surface forces, as well as their harmonics. In addition, we observe that the generation of cavitation increases the structural natural frequency of the FSI system concerned. • Systematic exploration of flow-induced vibration in cavitating flexible hydrofoils. • Cavitation introduces amplification factor of up to 7 times in structural vibrations. • Impact of sheet cavitation on structural response and vortex dynamics. • Identification of flutter-like response and frequency lock-in. • Mechanism of vortex-cavitation interaction and frequency dynamics.
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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 | 0.001 |
| 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".