Effects of Sloshing on Flutter Prediction of Partially Liquid-Filled Circular Cylindrical Shells
Bibliographic record
Abstract
Dynamic stability of liquid-filled circular cylindrical shell subjected to supersonic flow and influenced by a moving inside fluid-free surface is investigated simultaneously. Structural modeling is based on the combination of Sanders thin shell theory and the standard finite element method. The shape functions are found from exact solution of shell theory which yields fast and precise convergence. First-order piston theory was applied to derive aerodynamic damping and stiffness matrices coupled with the shell elastic deformation. The fluid inside the shell is modeled as a potential variable at each node of the structure elements and its motion is expressed in terms of nodal degrees of freedom at the interface of the fluid and shell. Effect of axial loading is also investigated by developing a geometrical stiffness matrix. Results showed that ignoring the fluid sloshing effect leads to over-prediction of critical flutter velocities and the most significant deviations are found for short and wide shells with high values of liquid filling ratios. This hybrid numerical-analytical software package can be used effectively for aeroelastic analysis and design of shells of revolution at less computational cost compared to commercial finite element packages.
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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 | 0.001 |
| 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 | 0.001 | 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 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".