Hydroelastic Vibration of Partially Liquid-Filled Circular Cylindrical Shells Under Combined Internal Pressure and Axial Compression
Bibliographic record
Abstract
Abstract In the present study, a hybrid finite element method is applied to investigate the dynamic stability of a partially fluid-filled circular cylindrical shell under constant lateral pressure and compressive load. The structural formulation is a combination of Sanders shell theory and the classic finite element method. Nodal displacements are derived from exact solution of Sanders shell theory. Initial stress stiffness in the presence of shell lateral pressure and axial compression are taken into account. It is assumed that the fluid is incompressible and has no free-surface effect. Fluid is considered as a velocity potential variable at each node of the shell element where its motion is expressed in terms of nodal elastic displacement at the fluid–structure interface. Numerical simulation is done and vibration frequencies for different filling ratios of pre-stressed cylindrical shells are obtained and compared with existing experimental and theoretical results. The stability for different shell geometries, filling ratios and boundary conditions with different combinations of lateral pressure and axial compression is summarized. This proposed hybrid finite element method can be used effectively for analyzing the dynamic stability of aerospace structures at less computational cost than other commercial FEM software.
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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".