An error estimator for transmitting boundary conditions in fluid-structure interaction problems
Bibliographic record
Abstract
This paper proposes error estimators to validate Transmitting Boundary Conditions (TBCs) in fluid-structure interaction problems.The error estimators are based on a new formulation of the dynamic response of fluid-structure systems including TBCs.The mathematical background is briefly discussed and the obtained equations are solved numerically to assess the accuracy of a given TBC and determine the associated error independently of FEM or BEM modeling of the fluid domain.The error estimators take account of : (i) structure's flexibility, (ii) fluid compressibility, (iii) energy dissipation at fluid boundaries, (iv) fluid domain truncation length, and (v) excitation frequency.An illustrative example consisting of a dam-reservoir system is presented where an error estimator is used to evaluate the effects of various TBCs on the hydrodynamic pressure acting on the dam upstream face.The proposed formulation can be programmed easily and used efficiently for rigorous assessment of classical or newly-developed TBCs for vibrating fluid-structure systems.
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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 | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".