Spacial Modelling and Simulation of On-deck Helicopter Securing and Manoeuvring
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".