Simulating Velocity Distribution of Dam Breaks with the Particle Method
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Bibliographic record
Abstract
This paper provides a quantitative comparison of a benchmarking dam-break case simulated by a particle method. The velocity comparison is usually absent in particle-method simulation, but both the water surface and velocity distribution are presented in this study. Various velocity profiles are shown at different sections located either upstream or downstream of the gate position of the initial water column. The effects of a turbulence model and particle size are then discussed to show the necessity of using a turbulence model in particle method. The comparisons show good agreement in both the water surface profiles and velocity distributions. The utilization of turbulence model and roughness coefficient in moving particle Semiimplicit (MPS) method improves the velocity distribution compared with the standard MPS method. A quantitative comparison of velocity distribution on the basis of relative root mean squared error (RRMSE) value was also executed to show the capacity of MPS method in simulating fluid flow. This study indicates that the particle method is capable of reproducing both the velocity distribution and water surface in a dam-break simulation.
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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 it