Fluid-Structure Interactions in a Tube Bundle Subject to Cross-Flow. Part B : Two-Phase Flow Modeling
Bibliographic record
Abstract
The response of a tube bundle subject to a two-phase cross-flow is investigated using a porous medium approach. This is the second of a two-part paper: in Part A new equations for the fluid and the structure were developed using a volume averaging technique. The main advantage of such an approach is that, compared to DNS, coarser and fixed meshes can be used for unsteady simulations, substantially alleviating the computational cost. The objective of part B is to extend the previous fluid-structure interaction model to two-phase flows. Following the same volume averaging technique, we describe the two-phase mixture using a Euler-Euler formulation. A model for the interaction between the gas and the liquid phase, similar to the fluid structure interaction model, in lumped into the equations. The solid structure, the gas and the liquid phases are fully coupled in a well posed set of equations. The code is verified by the method of manufactured solutions and its ability to represent fluid structure interactions in two-phase flows is assessed by comparing its predictions with results from DNS simulations and previous experimental data.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".