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Record W1977673926 · doi:10.1080/17445302.2014.937058

Integrated modelling, design and analysis of submarine structures

2014· article· en· W1977673926 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueShips and Offshore Structures · 2014
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsMartec (Canada)Defence Research and Development Canada
Fundersnot available
KeywordsSubmarineHullFinite element methodUnderwaterStructural engineeringComputer scienceNotional amountMarine engineeringEngineeringGeology

Abstract

fetched live from OpenAlex

The paper describes an advanced, integrated approach to structural modelling, design and analysis of underwater vehicles, employing methods ranging from simple formula-based design tools to 3D geometric modelling and non-linear finite element analysis. Emphasis is given to a specially developed domain-specific language called RMGScript for creating 3D structural geometric entities within a hierarchical and relational framework, as well as capabilities uniquely oriented to structural modelling of underwater vehicles, such as incorporating out-of-circularity imperfections in pressure hull geometry, and representing localised variations in plating thickness using thickness zones or maps. Applications to structural modelling of a submarine are illustrated throughout the paper. It concludes with example results for a notional submarine exhibiting pressure hull strength prediction, global and local stress analysis, and dynamic analysis.

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 score0.084
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.223
Teacher spread0.204 · 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