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Record W6991568777

Hydrodynamic design of a stern flap appendage for the HALIFAX Class Frigates

2006· article· en· W6991568777 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2006
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSternPropellerAppendageClass (philosophy)Process (computing)World class
DOInot available

Abstract

fetched live from OpenAlex

The HALIFAX Class frigates comprise a class of 12 warships that will represent Canada's primary naval defence capability well into the 21st century. Driven by a concern regarding the escalating cost of fuel to operate the HALIFAX Class frigates, the Institute for Ocean Technology has been contracted by the Department of National Defence to carry out research, in collaboration with the Defence R&D Canada - Atlantic, to develop a viable stern flap appendage that will reduce hydrodynamic resistance for a Class-wide blended annual speed profile with secondary benefits such as an increase in forward speed, improved propeller cavitation performance and a reduced stern wave system. Research carried out by other navies has shown that the addition of a suitable stern appendage can reduce warship fuel costs from 5 to 10% depending on the operational profile of the ship. This paper provides a detailed description of the hydrodynamic design process for an optimum stern flap appendage suitable for Canada's HALIFAX Class frigates that includes a literature review, extensive physical and numerical modeling, data analysis procedure and some example results.

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 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 score0.846
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.197
Teacher spread0.190 · 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.

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

Citations6
Published2006
Admission routes2
Has abstractyes

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