Characterization of Full Scale Operational Ice Pressures and Hull Response on a Large Arctic Tanker
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The prediction of practical ice loads for ships operating in ice-covered waters is fundamental to the calibration of ice class requirements and improvement of Polar ship structural design. Data collected from full-scale instrumentation campaigns is highly valuable, not only for identifying characteristics of ice loads during actual service experience, but also for benchmarking ice class selection and informing future design decisions. This paper presents results of a study focused on utilizing full scale ice impact data for practical Arctic engineering applications. Three (3) bow-shoulder ice impact events were selected from the Varandey shuttle tanker field data set; representing both peak force and peak local pressure events. The 4D pressure method was used to apply the real-time/real-space pressure panel data directly to a finite element model of the bow in order to assess the structural response. Subsequently, these ice loads were applied to lighter structural hull configurations, to benchmark their capability under the same loading events. The results provide unique insight to the response of different ice class structures to real ice impact measurements.
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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 | 0.000 | 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) | 0.001 | 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 it