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Record W2805909072

Validation of an Open-Source CFD Tool to Support Efficient Design of Offshore Gravity-Based Structures Exposed to Extreme Waves

2017· article· en· W2805909072 on OpenAlexafffundvenueabout
Hossein Babaei, Scott Baker, Andrew Cornett

Bibliographic record

VenueNPARC · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsNational Research Council Canada
FundersNational Research Council CanadaNational University of Singapore
KeywordsSubmarine pipelineComputational fluid dynamicsOpen sourceMarine engineeringRogue waveComputer scienceGeologyEngineeringAerospace engineeringOceanographyPhysicsSoftware
DOInot available

Abstract

fetched live from OpenAlex

Computational Fluid Dynamics (CFD) could be an inexpensive complement and even an alternative to physical modelling for investigating the interaction of ocean waves with offshore structures. CFD models however cannot be relied on unless they are well validated. We validated the OpenFOAM® CFD toolbox, a publically available open-source model, for modelling the interaction of extreme regular and irregular waves with offshore gravity-based structures. CFD results including water levels, pressures and forces generally compared well with results for a physical model test program previously conducted by the National Research Council Canada (NRC).

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.041
GPT teacher head0.256
Teacher spread0.215 · 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 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

Citations3
Published2017
Admission routes4
Has abstractyes

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