Semisubmersible Offshore Structure in an Extreme Wave Domain with Itinerant Ice Pieces
Bibliographic record
Abstract
Presence of nomadic ice pieces of various sizes in the North Seas such as, in the Grand Bank area of Newfoundland and Labrador largely inflicts extra threats to the operations and stability of semisubmersible offshore structures (SOS). During stormy weather or in a situation of very large waves, the operation and safety of such SOS are extremely risked when ices pieces propagating alongside with the heavy waves. This paper reports initial findings for the effects of various large waves on the risk of occurrence and severity of ice pieces and topside collisions. OrcaFlex™ is a commercial code utilized in this project as the numerical simulator. This is a 3D non-linear time-domain finite element implicit and explicit code that utilizes lumped mass elements to simplify equations and to enhance computational efficiency. The results obtained from the OrcaFlex code are compared with the results predicted by StarCCM+ full scale dispersive commercial code for an alike case. The comparisons of the data show a valuable data match.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".