FE Model for the CPF using CAD to ANSYS IGES Import/Export
Bibliographic record
Abstract
Developing FE models for complex ship hull geometries presents a major challenge. For example, in ANSYS, building a FE model for a marine vehicle is time consuming and complex process. In this paper, a procedure for a faster and cost effective way to import and mesh CAD models of marine vehicles into ANSYS is presented. A FE model for the Canadian Patrol Frigate (CPF) was created in CADKEY. The model was converted into IGES (Initial Graphics Exchange Specification), and then imported into ANSYS. In ANSYS the model was meshed using both free and controlled meshing tools. It is aimed that this FE model will be used as a part of the ship library in the Marine Dynamics Virtual Laboratory MDVL. Using MDVL numerical tets will be conducted and the results will be compared to data from the physical model tests.
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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".