A load interpolation transfer method among disciplines in parametric space
Bibliographic record
Abstract
The multidisciplinary analysis(MDA) and optimization(MDO) of turbine blades introduce the needs of load transfer between computation fluid dynamics(CFD) models and computation structural mechanics(CSM) models,as meshes are mostly different on the disciplinary coupling interfaces.The direct interpolation method is the first and easiest method considered for this purpose.But this method requires fine meshes to reduce the influence of geometric curvature on transfer precision,which in turn will block the whole MDO process.In this paper an interpolation method in parametric space was proposed to transfer the loads.The coupled nodes of the dissimilarly meshed,the disciplinary interfaces were mapped into a flat parametric space in the method.There,the loads were transferred.During calculating load of a target node parameterized,several source nodes were selected in a small area around the target point.The load distribution in the area was fitted by a cubic function.Then,the load of the target point was calculated by the function.For the load are transferred in the flat parametric space in the method,the influence of geometric curvature on the interpolation precision is minimized,and the transfer accuracy is good enough even for coarse interface meshes.
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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 | 0.001 |
| 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".