Surface seakeeping experiments with a model of a submarine
Bibliographic record
Abstract
Model experiments to investigate the surface performance of the Canadian Victoria Class submarine, under various environmental and operational conditions, were carried out at the Institute for Ocean Technology of the National Research Council, Canada. The task was initiated by the Canadian Navy in the wake of the HMCS Chicoutimi fi re-at-sea on the recommendation of a Naval Board of Inquiry. The program included systematic experiments to evaluate the seakeeping behaviour of the submarine in environmental and operational conditions selected to support development of guidelines for submarine operators. This included experiments in irregular waves and regular waves, along with roll decay tests. Environmental and operational variables covered of range of speeds, sea states and vessel headings. A free running, self-propelled, autopilot-driven, radio controlled model was designed and built to a scale of 1:14.96. The model, suitable for surface operations only, was outfi tted with active rudders, fi xed forward and after planes, main sail and keel. The model was designed so that the space between the outer body and the pressure hull was subjected to fl ooding and limited free fl ow. The external geometry of the model did not include acoustic tiles present on the fullscale boat. The model was instrumented to measure model motions, speed and propeller revolutions, and to monitor presence of water on deck in selected locations. Measurements of the roll responses were the principal targets of the project investigation. This paper presents a description of the model, its particulars, including the evolution of the design process. Experimental results including roll, pitch and heave responses in regular and irregular waves, and roll decay results are presented. All model information and results meet ITTC requirements for benchmark data.
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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".