Bibliographic record
Abstract
SUMMARY Spectral methods for analyses of steady flows in annuli bounded by walls with either axi‐symmetric or longitudinal ribs are developed. The physical boundary conditions are enforced using the immersed boundary conditions concept. In the former case, the Stokes stream function is used to eliminate pressure and to reduce system of field equations to a single fourth‐order partial differential equation. The ribs are assumed to be periodic in the axial direction and this permits representation of the solution in terms of the Fourier expansion. In the latter case, the problem is reduced to the Laplace equations for the flow modifications that can be expressed in terms of the Fourier expansions. The modal functions, which are functions of the radial coordinate, are discretized using Chebyshev polynomials. The problem formulations are closed using either the fixed volume flow rate constraint or the fixed pressure gradient constraint. Various tests have been carried out in order to demonstrate the spectral accuracy of the discretizations, as well as the spectral accuracy of the enforcement of the flow boundary conditions at the ribbed walls using the immersed boundary conditions concept. Special linear solver that takes advantage of the matrix structure has been implemented in order to reduce computational time and memory requirements. It is shown that the algorithm has superior performance when one is interested in the analysis of a large number of geometries, as part of the coefficient matrix that corresponds to the field equation is always the same and one needs to change only the part of the matrix that corresponds to the boundary relations when changing geometry of the flow domain. Copyright © 2011 John Wiley & Sons, Ltd.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".