CFD Simulation of Hydrodynamic Interaction Between a Ship and a Podded Propeller Using Body Force Method
Bibliographic record
Abstract
Abstract This paper presents an application example of the body force propeller method to consider hydrodynamic interaction between the hull, pod and propeller blades; and predict the overall propulsion performance without implementing the actual rotating propeller model. As a test case, a tugboat with twin puller-pod units is selected, and a series of simulations, from a stand-alone propeller operation to a fully equipped hull under propeller overload conditions, are conducted. To evaluate the simulation performance improvement, two different modelling options in the body force propeller model, inflow sampling and induced velocity correction, are investigated. The estimated thrust, torque and tow force are then compared with the model test results. Finally, it is proposed to adopt the varying inflow sampling technique to enhance the simulation accuracies of the body force propeller method, particularly for propeller overload test cases.
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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".