Recent Advances in Efficient and Robust Two-Way Coupling Between FEA and CFD
Bibliographic record
Abstract
The established FEA and CFD codes ANSYS and CFX have been coupled to support transient and strongly coupled interaction between structures and fluids analyses. The presentation will outline the technical approaches used for the communications technology, data interpolation, non-linear convergence of the implicit condition, and the mesh morphing problem. For the communications a TCP/IP socket communication system has been used that is very efficient and very portable, including within parallelized simulations. The data interpolation issue is addressed to ensure full conservation of forces and energy flow. For stability under highly interacting or non-linear conditions, the fully coupled implicit problem must be solved, or converged, at each time step. The algorithm that manages this iteration and data exchange is explained. Finally, some of the approaches used to smoothly morph the moving mesh are detailed. These capabilities are all supported in the ANSYS 10.0 software release (summer 2005).
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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".