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Semisubmersible Offshore Structure in an Extreme Wave Domain with Itinerant Ice Pieces

2020· article· en· W3153019485 on OpenAlexaffabout
Hasanat Zaman, Ayhan Akintürk

Bibliographic record

VenueGlobal Oceans 2020: Singapore – U.S. Gulf Coast · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsCommunity Sector Council Newfoundland and Labrador
Fundersnot available
KeywordsSubmarine pipelineCode (set theory)Marine engineeringDomain (mathematical analysis)Time domainGeologyMeteorologyComputer scienceEngineeringPhysicsOceanographyMathematics

Abstract

fetched live from OpenAlex

Presence of nomadic ice pieces of various sizes in the North Seas such as, in the Grand Bank area of Newfoundland and Labrador largely inflicts extra threats to the operations and stability of semisubmersible offshore structures (SOS). During stormy weather or in a situation of very large waves, the operation and safety of such SOS are extremely risked when ices pieces propagating alongside with the heavy waves. This paper reports initial findings for the effects of various large waves on the risk of occurrence and severity of ice pieces and topside collisions. OrcaFlex™ is a commercial code utilized in this project as the numerical simulator. This is a 3D non-linear time-domain finite element implicit and explicit code that utilizes lumped mass elements to simplify equations and to enhance computational efficiency. The results obtained from the OrcaFlex code are compared with the results predicted by StarCCM+ full scale dispersive commercial code for an alike case. The comparisons of the data show a valuable data match.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.210
Teacher spread0.194 · 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.

Study designObservational
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
Published2020
Admission routes2
Has abstractyes

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