Simulation of Managed Sea Ice Loads on a Floating Offshore Platform using GPU-Event Mechanics
Why this work is in the frame
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Bibliographic record
Abstract
The paper describes a GPU-based event mechanics (GEM) model of the action of managed pack ice on a floating offshore structure. The ice cover is represented by a large number of discrete polygonal ice floes, of varying thickness. Each ice-structure contact is modeled, as is every ice-ice contact. Time histories of total platform force (net mooring force) and platform position are presented. Ice coverage, floe sizes and thickness are varied in the simulation set. The work represents a further exploration of the possibilities of GEM technology, which was previously used to explore both resistance and local structural loads for ships transiting pack ice. The work is part of a research project at Memorial University of Newfoundland called STePS2 (Sustainable Technology for Polar Ships and Structures).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it