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Record W2185950925

A numerical study of darrieus water turbine

2012· other· en· W2185950925 on OpenAlexaff
Ion Paraschivoiu, Norbert V. Dy

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2012
Typeother
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsFinite element methodMarine engineeringTurbineWater turbineEngineeringStructural engineeringBendingScale (ratio)Turbine bladeMechanical engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

The aim of this paper is to compare the hydrodynamic performances and structural responses of different vertical axis hydrokinetic turbine (Darrieus water turbine). The performances were evaluated using a computational method based on the Double-Multiple Streamtube model and the structural analyses were completed using a general-purpose commercial finite element analysis software. Among the multiple plan form geometries available for Darrieus water turbines, the H-Darrieus offers some advantage over Troposkien blades on performance, but are penalized by large bending moments. Troposkien blades can withstand stronger hydrodynamic loads and are considered more suitable for large-scale applications.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.763
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2012
Admission routes1
Has abstractyes

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