Simulation of oil spreading flows in water by mesh-free improved EI-MPS method
Bibliographic record
Abstract
Oil spreading in water as two-phase flows can trigger severe interface deformation and breakup, leading to complex flow structures. In this study, an Explicit Incompressible version of the Moving Particle Semi-implicit (EI-MPS) method is employed to simulate the oil-water two-phase flows. By using the mesh-free method, different pressure gradient models are examined to simulate the flows. Numerical simulations are conducted to simulate oil slick spreading and continuous oil leakage spreading. In the simulations, different particle distances are implemented. The simulated interface evolution and oil front movements are analyzed. It shows that the first-order accuracy pressure gradient model can significantly improve the simulation results, and using smaller particle distances can better reflect the oil spreading in the water. By using the first-order accuracy pressure gradient model, the oil spreading by different initial oil heights in the oil slick and continuous oil leakage spreading is captured, in good agreement with experimental measurements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".