Seakeeping of a Research Vessel With Azimuthing Propellers
Bibliographic record
Abstract
This paper gives comparisons of numerical predictions with seakeeping model tests for R/V Melville, an oceanographic research vessel that is propelled by two ducted azimuthing propellers. The model tests were conducted on a 1/23 scale model that was controlled by a human pilot using a remote control. The ship motions were predicted using the ShipMo3D ship motion library, which uses potential flow theory to determine hull radiation and diffraction forces. Predicted roll and pitch motions give good agreement with model tests. Predicted yaw motions and azimuthing propeller deflection angles are much less than values observed during the model tests. Challenges with prediction of yaw and azimuthing propeller deflection are likely due to approximation of the human model pilot with a simple proportional-derivative (PD) autopilot. The comparisons between numerical predictions and model tests suggest that the azimuthing propellers have minimal influence on roll for R/V Melville.
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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 | 0.001 | 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".