Vortex-Induced Vibration of a Rectangular Cross Section With Transverse and Rotational Modes
Bibliographic record
Abstract
Abstract Periodic vortex shedding downstream of a rectangular cross-section can result in excessive vibration, reducing fatigue life. Accurate characterization of the fluid-structural interaction can help develop models to predict the excitation of vibration at different flow velocities. These models can help develop methods to avoid the excitation of significant vibrations, ensuring structural integrity and preventing fatigue failure. In this work, the vibration response of a structure with a rectangular cross-section with an aspect ratio of four is numerically investigated when susceptible to both transverse and rotational vibration modes. A coupled two-dimensional fluid-structural model is used to solve the equations of structural vibration and fluid flow. The model provides predictions of the rectangular cross-section vibration under forces induced by vortex shedding. The amplitude, frequency, and phase characteristics of the coupled cross-flow and rotational modes are presented and compared to vortex-induced vibration in a single degree-of-freedom system. The coupling between modes at different flow velocities lock-in is investigated for cases where the two modes have equal or different natural frequencies. Although the two modes are structurally independent, results show that fluid forces introduce modal coupling if the two modal frequencies are equal, leading to elevated vibration levels away from the expected vortex-induced vibration lock-in range. However, this coupling effect did not materialize for cases where the two modal frequencies were not equal.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".