Physical model studies of innovative oil containment boom designs
Bibliographic record
Abstract
The objective of this research was to develop, assess and validate alternative boom designs that would allow containment and collection of oil spills in water at higher speeds than currently possible using conventional boom technologies. A comprehensive series of two- and three-dimensional CFD simulations and large-scale physical model experiments were conducted investigating the oil containment performance characteristics of several innovative boom concepts (and multiple variations thereof) at high speeds. Both the simulations and experiments considered varying quantities of low, medium, and high-viscosity oils. This paper discusses the physical scale model experiments in detail. The boom concepts investigated in this research included conventional designs with a single skirt and innovative designs incorporating ramps or permeable screen barriers to manage the oil slick at higher speeds. The extensive laboratory testing and computational modelling revealed that innovative boom designs are able to safely and effectively contain oil at speeds up to 3 knots or more. Effective high-speed booms will make it possible to contain and recover oil spilled into fast-flowing rivers, estuaries and coastal waters, and accelerate oil recovery operations in open water environments.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".