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Record W7132066595

Numerical simulations of naval vessel collisions with ice

2020· article· en· W7132066595 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNPARC · 2020
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHullCollisionWaterlineKeelBendingSea iceIndentation
DOInot available

Abstract

fetched live from OpenAlex

Numerical simulations (using LS-Dynaᵀᴹ) were initially conducted to show two scenarios for a naval vessel, one where little-to-no-damage occurs during an ice collision and the other where substantial damage occurs. NRC’s crushable-foam ice model was used for all simulations. One instance of the first scenario corresponded to the vessel moving at a given vessel speed of 1.5 m/s and experiencing a bow-side collision with a block-shaped ice mass of approximately 181 tonnes that caused a relatively small amount of plastic damage to the vessel’s hull (i.e. a widearea shallow-depth plating dent with depth of ~ 11 mm). In contrast, the second scenario corresponded to the vessel colliding at the same speed with a 524 tonne similar-shaped ice mass at the same hull location that caused extensive, non-holing, plastic damage to the vessel grillage. That is, the hull plating experienced substantial plastic indentation (~ 60 mm) and the stiffener and frame in the region of impact underwent bending and buckling. Following those simulations, others were performed using progressively smaller ice masses in order to determine what the size of an ice mass would be that would cause no damage at all to the vessel. The results indicated that some level of damage, albeit diminishingly small, occurred (in a linear trend) as the ice masses and associated peak loads get smaller until eventually an ice mass of 8 tonnes produced no damage at all, where the peak load was 25 kN. The next ice-mass size up from that was 17 tonnes, that produced a tiny amount of damage during a simulation. An important observation from all the simulations concerns where the ice impact occurs with respect to supporting stiffeners and frames behind the plating. This can influence the peak loads and pressures that occur, and the extent of local damage. The 524 tonne ice mass collision simulation yielded average and peak contact pressures that were in reasonable agreement with average and hardzone pressure values obtained in large double pendulum ice impact lab tests. This, and favorable comparisons with other lab and field data, bolster confidence in the ice model used.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.231
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it