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Record W4212918719 · doi:10.1080/17445302.2022.2032993

Full-scale ship-structure ice impact laboratory experiments: experimental apparatus and initial results

2022· article· en· W4212918719 on OpenAlexaff
Sthéfano Lande Andrade, Ahmed Elruby, Evan Hipditch, Claude Daley, Bruce Quinton

Bibliographic record

VenueShips and Offshore Structures · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsMemorial University of Newfoundland
FundersAmerican Bureau of Shipping
KeywordsHullImpactPendulumAccelerationMarine engineeringStructural engineeringEngineeringDuration (music)Full scaleUnderwater explosionGeologyAerospace engineeringPhysicsMechanical engineeringAcoustics

Abstract

fetched live from OpenAlex

This article presents the results of three ice impacts against a stiffened panel cut from the recently decommissioned ex-HMCS IROQUOIS. The upgraded experimental apparatus (the large double-pendulum), its sensors, and experimental conditions are also presented. The apparatus consists of two pendulums, one constrains and supports an ice feature, and the other constrains and supports a ship hull grillage structure. The first ice impact had data integrity and ice cone geometry issues, and so is treated as a commissioning test. During the second impact the impact force peaked at 553.9 kN, the total impact duration was 0.055 s and the hull plating acceleration at the centre of the impacted location was a maximum of 10877 m/s2. The third impact exhibited a peak force of 773.6 kN, 9691 m/s2 of acceleration, and had an impact duration of 0.039 s.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.012
GPT teacher head0.259
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations11
Published2022
Admission routes1
Has abstractyes

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