The long wave fluid flows on inclined porous media with nonlinear Forchheimer’s law
Bibliographic record
Abstract
The surface fluid flows coupled with porous media flows in substrates occur in many circumstances in industry and natural settings. In this paper, we investigate the long wave solutions for the surface flows on inclined porous media. The important feature is that such flows are derived by the Navier-Stokes equations governing the clear flows in the surface fluids and the nonlinear Forchheimer’s equations for the porous media flows in substrates. The problem is reduced to a corresponding Orr-Sommerfeld problem by linearizing the infinitesimal perturbations in the system of coupled equations for analyzing long wave solutions of surface flows. Numerical analysis is taken by using Chebyshev collocation numerical method to the eigenvalue problems of the Orr-Sommerfeld systems for analyzing critical condition and stable region of long wave solutions. We compare the result with that for very small drag constant by Darcy’s law and study numerically the effects of parameters including various drag constants on the long wave solutions with Forchheimer’s law.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".