Resistance, self-propulsion and wake survey tests of the Contract Design (Model OCRE911) of DND Joint Support Ship
Bibliographic record
Abstract
This report describes experiments carried out on a 1:29.78 scale fully appended model of the Contract Design of the Joint Support Ship (JSS) in the Oceans, Coastal and River Engineering (OCRE) Towing Tank in June/July 2012. The purpose of these experiments was to evaluate performance of this revised design of the JSS in terms of its resistance, propulsion and wake survey characteristics. Revised design featured modifications to bulbous bow and stern region to correct deficiencies observed in the Preliminary Design of the JSS. Appended Resistance: Resistance coefficient is essentially the same as that of the preliminary design up to ten knots, is slightly higher (about 2%) at 10 knots and then becomes steadily less at all speeds above 10 knots. Maximum reduction in resistance coefficient is 12.5% and occurs at 20 knots (Froude number (Fr) = 0.244). Full scale effective power shows a similar trend. Propulsion: Propulsion tests showed that Contract Design represents an improvement over Preliminary Design in terms of Delivered Power (PD) and propeller revolutions. As was the case with Appended Resistance, there was little difference below 10 knots. Above 10 knots, PD for Contract Design versus Preliminary Design decreases steadily. The maximum percentage reduction in Delivered Power is 24% at 19 knots. Ship propulsion efficiency coefficients for this design confirm trends shown by the improvements in PD and propeller revolutions. Wake Survey: Wake Survey shows improved flow particularly into the upper portion of the propeller disk for the Contract Design when compared to the Preliminary Design
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".