Steady and Unsteady Three-Dimensional Flows in Confined Configurations With Constant and Variable Inflow Velocity
Bibliographic record
Abstract
This paper presents a three-dimensional analysis of the unsteady confined viscous flows generated by the variations in time of the inflow velocities (fluctuations) which often are present during the operation cycle of various engineering systems, and have to be taken into account in the study of flow-induced vibration and instability of these systems. Time-accurate solutions of the Navier-Stokes equations for these unsteady flows are obtained with a numerical method developed by the authors, which is second-order accurate in space and time and is based on a finite difference formulation on a stretched staggered grid and uses artificial compressibility. A factored alternate direction implicit (ADI) scheme and a special decoupling procedure, based on the utilization of the continuity equation, are used to substantially enhance the computational efficiency of the method by reducing the problem to the solution of scalar tridiagonal systems of equations. This method is applied to obtain solutions for the benchmark unsteady confined flow past a downstream-facing step, generated by the harmonic variations in time of the inflow velocity. The formation of the flow separation regions is thoroughly analyzed in the paper, including the influence on the flow separations of the Reynolds number, and of the oscillation frequency and amplitude of the inflow velocity variations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".