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Record W2627476850 · doi:10.4050/f-0070-2014-9586

Spacial Modelling and Simulation of On-deck Helicopter Securing and Manoeuvring

2014· article· en· W2627476850 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSimulation and Modeling Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsAerospace engineeringDeckComputer scienceAeronauticsCockpitMarine engineeringEngineeringStructural engineering

Abstract

fetched live from OpenAlex

For smaller ships in rough seas, flight deck motion can become considerable and result in significant dynamic behaviour of embarked helicopters. The current state-of-the-art in dynamic modelling of the on-deck helicopter/ship dynamic interface includes a fully-spacial securing simulation and a separate one capable of modelling planar traversing and manoeuvring operations. A fully-spacial securing and manoeuvring simulation named SSMASH (Spacial Securing and Manoeuvring Analysis for Shipboard Helicopters) has been developed to provide complete analysis capability of the on-deck helicopter/ship dynamic interface. Specifically, a new capability to model helicopter response to manoeuvring events in the presence of flight deck motion is realized. The model is compared to the state-of-the-art securing simulation Dynaface®and experimental data from land-based manoeuvring trials. Excellent correlation with the Dynaface® simulation is achieved, while good correlation with the experimental data is also observed.

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 score0.450
Threshold uncertainty score0.246

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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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