Physical modelling and design for a new mega-yacht marina
Bibliographic record
Abstract
Three dimensional physical model studies, at a geometric scale of 1:50, have been conducted to support the reliable design of a proposed mega-yacht marina project at Bridgetown, Barbados. A faithful scale model of the new mega-yacht marina, the surrounding bathymetry, and the adjacent shoreline was constructed and used to assess the performance of the new marina in a range of operational and extreme metocean conditions, and to refine and verify preliminary designs. Accurate scaled reproductions of a range of moderate and extreme wave conditions were generated in the model by means of a computer-controlled directional wave generator. The physical model was used to investigate many key issues including: wave agitation within the marina, wave overtopping, wave impact forces, the stability of revetments and scour protection stone, and the behaviour of moored yachts. Key findings included the optimal length for the curved breakwater, the strategic placement of two solid piers and a revetment within the marina basin, the establishment of appropriate design loads on various components of the breakwater, as well as optimization of the breakwater crest elevation. Furthermore, the exterior toe berm was optimized, and the stability of the scour stone and a revetment at the marina entrance were validated.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".