A time-domain surface panel method for a flow interaction between a marine propeller and an ice blockage with variable proximity
Bibliographic record
Abstract
Ice class propeller performance evaluation is a relatively new topic marine hydrodynamics. Bose (1996) used a 3-D panel method to evaluate the induced hydrodynamic load fluctuation between a milled ice block and the propeller blade leading edge profile, with a fixed value of proximity. For variable proximity simulation, a time-domain panel method is required to handle multiple objects moving in multiple pats. A propeller performance evaluation code, PROPELLA, was developed and used to evaluate 6 different propellers for induced load under fixed proximity conditions (Liu et al. 2000). The formulation was further developed to predict ice-propeller contact load (Doucet et al. 1998). In all the above-mentioned studies, the gaps between the propeller leading edge and the ice-blockage are fixed. The next logical development is to determine the hydrodynamic loading fluctuation as a propeller approaches an ice-blockage, i.e., the gap is a function of time. The current study was initialized for this investigation.
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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) | 0.125 | 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".