A numerical simulation study of boundary-condition effects on the damage of ship grillages due to ice impacts
Bibliographic record
Abstract
In the study of ship-grillage damage due to collisions with ice masses, an important aspect is the set of boundary conditions around the impacted hull segment where the damage occurs. This is true for both physical experiments in the lab and numerical simulations. Here we use numerical simulations to investigate the influence of various boundary conditions on the plastic-damage response of two grillage segments of the same size, from the decommissioned Royal Canadian Navy destroyer Ex-HMCS IROQUOIS, subjected to collisions with a given ice mass. One of the grillage segments facilitates ice impacts between two stiffeners, and the other segment facilitates ice impacts at a stiffener. The simulation components comprise a large conceptual apparatus presently under development that will eventually be used in an ice tank to perform large-scale physical impact tests on actual grillage segments. The apparatus, known as HITT (Heavy Impact Test Theater), will consist of a large impactor (to attach grillages to) and an actual ice feature (with augmented mass) that the impactor collides with. The present simulation study will help define suitable boundary conditions for the attachment of the grillage segments to the impactor. Here the results are quantitatively discussed in terms of the boundary-conditions effect on the impact loads and the residual plastic indentation of the impacted grillages, and qualitatively in terms of the effect on the characteristics of associated stiffener deformations. One particular set of boundary conditions was identified as exhibiting the desired realistic ice-impact grillage behaviors and being the easiest to implement in the HITT apparatus.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".