Turbulent cavitating flows under periodic inflow perturbations
Bibliographic record
Abstract
This work is devoted to numerical studies of transient evolution characteristics and drag reduction mechanisms of ventilated cavitating flow over an underwater axisymmetric vehicle under periodic flow disturbances. The unsteady Reynolds-averaged Navier–Stokes approach is adopted along with the volume-of-fluid method and the shear-stress transport k−ω turbulence model. The results show that the numerical method can accurately predict the cavity shedding dynamics and internal pressure fluctuations at the cavity development stage. Under various inflow conditions, the pressure fluctuations are consistent with the transient cavity behaviors in the spectral–temporal domain. The increased amplitude and frequency of fluctuating inflow intensify the randomness of cavity shedding, leading to higher drag on the underwater vehicle. Additionally, the new Ω identification method reveals the topological features of multiscale vortex structures in the cavity shedding process. The strength and scale of the vortices vary significantly with the vehicle's angle of attack, which is primarily governed by vortex stretching and baroclinic torque terms. Although the drag reduction rate decreases with increasing angle of attack, the novel double-ventilated ring configuration effectively suppresses cavity shedding and substantially enhances drag reduction efficiency. These findings offer valuable insights into the design and control of ventilated cavitating flows around underwater vehicles.
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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".