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Record W6910407767 · doi:10.48336/9ca8-4833

Analysis of an ice cone impact with a hull structure through the use of large pendulum impacts and finite element analyses

2022· article· en· W6910407767 on OpenAlexaffabout

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2022
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsFinite element methodHullPendulumCone (formal languages)Navy

Abstract

fetched live from OpenAlex

When considering hull structure impacts with large ice pieces, there is still much left to understand. As well, there is a lack of information available when considering the development of finite element models of these impact types. This thesis analyzes a grillage from the ex-HMCS IROQUOIS Royal Canadian Navy destroyer, which had a service life of nearly 45 years. Through a large double-pendulum apparatus, the grillage was impacted by an ice cone indenter. The study then continues by replicating the grillage as accurately as possible through the use of newly procured steel. This copy grillage was then also impacted by a large ice cone indenter. Both experiments were then replicated through finite element analysis. The study focuses on the capabilities of hull structures through comparing aged and new steel, as well as comparing the experimental data to respective finite element analyses. The capabilities of the original and copy grillages were shown and the overall study was developed as a benchmarking tool when considering the development of finite element models with respect to real-world ice impact experiments.

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.

How this classification was reachedexpand

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 score0.061
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.301
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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