MétaCan
Menu
Back to cohort
Record W113244769 · doi:10.5957/mtsn.2009.46.3.140

Measurements of Flow Around an Escort Tug Model with a Yaw Angle

2009· article· en· W113244769 on OpenAlex
David Molyneux, Jie Xu, Neil Bose

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

VenueMarine Technology and SNAME News · 2009
Typearticle
Languageen
FieldEngineering
TopicShip Hydrodynamics and Maneuverability
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHullComputational fluid dynamicsFlow (mathematics)VortexUpstream (networking)Particle image velocimetryWakePlane (geometry)EngineeringMechanicsMarine engineeringSimulationPhysicsAerospace engineeringGeometryTurbulenceMathematics

Abstract

fetched live from OpenAlex

This paper presents the results of experiments to measure flow velocities around the hull of an escort tug model operating at a yaw angle of 45 deg using particle image velocimetry (PIV). The paper describes the setup, calibration, and operation of the PIV system and the analysis of the results, including an estimate of the experimental uncertainty. Flow vectors are given within planes normal to the direction of motion of the tug. One plane was on the upstream side of the hull, and the other plane was on the downstream side of the hull. The downstream measurements were made with and without a low aspect ratio fin, typical of many modern escort tug designs. The results showed that the fin, when fitted, created a large vortex under the hull of the tug. Smaller features of the flow, such as the separation of the flow at the upstream and downstream bilge corners were also defined. The intention of these experiments was to create a data set that can be used to validate computational fluid dynamics (CFD) predictions of flow vectors around an escort tug at a large yaw angle.

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 score0.624
Threshold uncertainty score0.500

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 head0.013
GPT teacher head0.211
Teacher spread0.198 · 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