A Nonoscillatory Shock Capturing-Based Numerical Model for Calculating Highly Transient Mixed Flow in Pipelines
Bibliographic record
Abstract
This paper presents a nonoscillatory model based upon the two-component pressure approach (TPA) model, which is utilized for calculating transient mixed flow in pipelines. The proposed model uses a first-order Godunov numerical scheme with an approximate HLL Riemann solution. It is shown that to remove the numerical oscillations the numerical viscosity of the scheme should be enhanced, particularly once the flow transition changes the regime from open channel to pressurized flow. To accomplish this goal an algorithm is proposed to improve the wave structure of the numerical scheme based upon which the HLL solver estimates the mass and momentum fluxes. The proposed algorithm significantly increases the scheme's numerical viscosity whenever flow transitions tend to occur, while it otherwise admits an optimum numerical viscosity. The performance of the model is numerically explored and verified through several test cases.
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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".