Physical modelling and design optimizations for presidente kennedy terminal, Brazil
Bibliographic record
Abstract
This paper discusses two 3D physical hydraulic model studies conducted in support of the design for a new iron ore exporting terminal located offshore of Espírito Santo, Brazil. The proposed terminal consists of a 5km long trestle, an iron ore export berth, an offshore berm breakwater, and a dredged access channel. The first model study was conducted to study wave agitation and moored vessel motion in order to estimate berth availability (downtime) for the new port, optimize and verify the breakwater length, and evaluate a softer mooring system. A 1:70 scale model of the surrounding bathymetry and preliminary terminal layout was constructed, and then modified to simulate several alternative layouts. The second model study was conducted to verify and optimize the breakwater design, which was devised as a dynamically stable berm breakwater featuring two roundheads, three straight trunk sections, and two bends. The breakwater stability study was performed in two stages (quasi-3D and fully-3D) at a scale of 1:40. The stability of the berm breakwater and the changes in breakwater profile shape under various storm intensities were analyzed in detail, and many optimizations to improve the breakwater performance, constructability, and cost effectiveness were investigated and assessed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".