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Record W4401548804 · doi:10.1080/17445302.2024.2387509

Innovations and challenges in marine steels for polar icebreaker manufacturing – a comprehensive review

2024· review· en· W4401548804 on OpenAlexaff
Siavash Imanian Ghazanlou, Ahmad Mobasher Amini, Félix-Antoine Carrier, Mousa Javidani

Bibliographic record

VenueShips and Offshore Structures · 2024
Typereview
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsChantiers Chibougamau (Canada)Université du Québec à Chicoutimi
Fundersnot available
KeywordsShipbuildingWeldabilityArcticWeldingThe arcticAutomotive industryMarine engineeringEngineeringEnvironmental scienceMechanical engineeringGeologyOceanographyGeography

Abstract

fetched live from OpenAlex

This review paper thoroughly investigates the challenges associated with constructing polar icebreakers, given the increasing feasibility of Arctic navigation attributed to global warming. The strategic significance of the Northern Sea Route in global trade, potentially reducing the Asia-Europe transit distance by about one-third, underscores the growing importance of polar-class vessels in Arctic navigation. Our research emphasizes the importance of selecting suitable steel grades considering strength, toughness, and weldability. The paper investigates the influence of ductile-brittle transition temperature on ship failures and evaluates different marine steels' tensile properties and fatigue behavior. Additionally, it reviews welding techniques and explores advanced methods, including wire arc additive manufacturing, to improve precision and efficiency in shipbuilding.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.099
GPT teacher head0.325
Teacher spread0.227 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2024
Admission routes1
Has abstractyes

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