Marine performance evaluation of a fast rescue craft
Why this work is in the frame
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Bibliographic record
Abstract
Marine performance evaluation was carried out aboard a fast rescue craft utilized by the Canadian Coast Guard. The experiments were conducted in late 2016 in the waters off Conception Bay South, NL and St. John’s, NL. The three primary focus areas of the study were vessel performance, fuel economy, and human kinetics. The evaluated vessel has a unique propulsion arrangement and is the first to be outfitted in Canada with Mercury Marine DSI 3.0 spark-ignited diesel outboard motors. Motivations to use this type of engine are to unify the Coast Guard’s fuel supply and to also allow engine re-start after inversion. The Canadian Coast Guard is interested in this vessel’s performance in comparison to the rest of the fleet because of these intrinsic advantages. The performance tests concluded that the vessel is very reactive to helm input. It also has much greater directional stability as its speed increases. It can reach its maximum speed in 250 metres, taking approximately 20 seconds to do so. At a full speed of 38 knots, the vessel can execute a 180ᴼ turn in just over 200 metres, and just under 20 metres at manoeuvring speed. The vessel can also tow a 19.7 metre fishing vessel at speeds up to 4.5 knots. The trials showed that the fuel economy was not overly sensitive to wind speed, wind direction, or even wave height. The fuel consumption curve fits a resistance curve that is typical of a planing craft. Its maximum range of 56 nautical miles is achieved at its optimal cruising speed of 24.6 knots. The vessel motions show that the accelerations in the Z direction are the most prominent. The accelerations in the X direction are the lowest, with accelerations in the Y directions being slightly higher. The maximum observed Z acceleration was 4.76 times gravity. The helmsman’s ability to maintain heading is increased with speed due to the higher directional stability observed at higher speeds. Wave height also has a prominent effect on the helmsman’s ability to maintain heading.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it