Loadings on the Topside of a Gravity Based Offshore Structure Due to Drifting Ice Pieces by Extreme Waves
Bibliographic record
Abstract
The motion of the ice pieces of various sizes in the Northern Seas such as, in the Grand Bank area of Newfoundland and Labrador always imposes extra risks to the operations of the offshore fixed and floating structures. In stormy weather, the operation and safety of such offshore structures are greatly affected when heavy waves propagate over the region with drifting ice pieces. This can cause damages to the structures when the interaction between those ice pieces and structures occurs. The range of severity of such damages depends on the harshness of the wave actions and the diversity of the ice pieces. In this paper, small ice pieces of different sizes are used in the simulations of interactions with an offshore Concrete Gravity Based Structure (CGBS). The motions of the ice pieces of various geometries and their dynamic impacts on the structures are studied. The simulations are carried out using a commercial numerical solver to predict the trajectory of the ice pieces around the structures, possible interaction with the CGBS and their consequent loadings on different elements of the structure at interest. The outcomes of the simulations obtained from single and multiple realizations of several wave conditions for the vertical impact loads due to ice pieces colliding with the topside so far. The initial results show that an increase of the significant wave height increases the number of collisions with the structure significantly. The magnitudes of the ice impact forces on the topsides did not follow the same trend. In each data set, the average of the highest one- third of the impact forces increases with the increase of Significant Wave Height / Air Gap ratios. The effects of variations in wave realizations for sea states are reported in the paper. The simulations also show the importance and possibilities of incorporating loads due to a collision of the ice pieces with the topside in the design process of such structures in the ocean.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".