Update on Probabilistic Assessment of Multi-year Sea Ice Loads on Vertical-faced Structures
Bibliographic record
Abstract
Abstract The Sea Ice Loads Software (SILS) is a Monte-Carlo type simulator developed by C-CORE for determining first and multiyear design sea ice loads, following the ISO 19906 methodology. Due to complexities in ice failure mechanics and associated uncertainties, these models are necessarily empirical or require simplifying assumptions. To account for uncertainty, conservatism must be built into models. A number of improvements to the software have recently been implemented in order to more realistically include a number of model components applicable to multi-year ridge loads and limit forces. This paper provides an overview of new modules accounting for ridge breakout, driving force ramp-up and ridge geometry modeling. Sensitivity runs show that design loads are affected significantly by accounting for these processes, compared to the previous implementation of ISO 19906 in SILS. The objective of this paper is to present the analytical model components and their implementation in SILS, and to demonstrate the influence of the changes by means of a scenario wherein a vertical sided structure encounters multi-year level ice and ridges.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".