Physical and numerical modeling of wave agitation at Laem Chabang Port, Thailand
Bibliographic record
Abstract
This paper describes physical and numerical modelling studies undertaken to predict wave conditions within the proposed Phase 3 expansion at Laem Chabang Port, and help optimise the layout of the planned reclamations and the length of the new breakwater. Outputs from the NOAA WAVEWATCH III model were used to estimate the wave conditions offshore of the site, and the CMS-Wave model was employed to simulate the propagation of the offshore waves to the port. The Boussinesq wave model WaveSim was applied to simulate the penetration of irregular directional wind waves into the phase 3 port and predict the wave conditions along the new quays for a range of incident wave conditions approaching from several directions. A three-dimensional 1: 100 scale physical model of the proposed expansion was also constructed and used to optimize the layout of the port. These studies showed that the new breakwater proposed in the master plan could be shortened without compromising operational safety or efficiency within the phase 3 port. A combined approach involving both physical and numerical modelling is recommended as the preferred method for predicting wave conditions in ports and optimizing port layouts.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".